Overview

Brought to you by YData

Dataset statistics

Number of variables	49
Number of observations	163864
Missing cells	710419
Missing cells (%)	8.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	61.3 MiB
Average record size in memory	392.0 B

Variable types

Text	7
DateTime	1
Numeric	23
Categorical	18

Alerts

`condition` has constant value "Не требует ремонта"	Constant
`acceleration` is highly overall correlated with `car_price` and 8 other fields	High correlation
`car_price` is highly overall correlated with `acceleration` and 9 other fields	High correlation
`class_auto` is highly overall correlated with `drive` and 2 other fields	High correlation
`clearence_max` is highly overall correlated with `height`	High correlation
`curb_weight` is highly overall correlated with `acceleration` and 14 other fields	High correlation
`customs` is highly overall correlated with `original_pts` and 1 other fields	High correlation
`cyl_count` is highly overall correlated with `acceleration` and 8 other fields	High correlation
`drive` is highly overall correlated with `class_auto` and 2 other fields	High correlation
`eng_power` is highly overall correlated with `acceleration` and 11 other fields	High correlation
`eng_size` is highly overall correlated with `car_price` and 10 other fields	High correlation
`eng_type` is highly overall correlated with `fuel_brand` and 1 other fields	High correlation
`engine_loc1` is highly overall correlated with `engine_loc2` and 1 other fields	High correlation
`engine_loc2` is highly overall correlated with `class_auto` and 7 other fields	High correlation
`front_brakes` is highly overall correlated with `fuel_brand` and 3 other fields	High correlation
`fuel_brand` is highly overall correlated with `eng_type` and 1 other fields	High correlation
`fuel_cons` is highly overall correlated with `curb_weight` and 4 other fields	High correlation
`gross_weight` is highly overall correlated with `acceleration` and 14 other fields	High correlation
`height` is highly overall correlated with `clearence_max` and 3 other fields	High correlation
`long` is highly overall correlated with `acceleration` and 12 other fields	High correlation
`max_speed` is highly overall correlated with `acceleration` and 9 other fields	High correlation
`max_torq` is highly overall correlated with `acceleration` and 11 other fields	High correlation
`mileage` is highly overall correlated with `pow_resrv` and 1 other fields	High correlation
`original_pts` is highly overall correlated with `customs`	High correlation
`pow_resrv` is highly overall correlated with `class_auto` and 15 other fields	High correlation
`rear_brakes` is highly overall correlated with `curb_weight` and 5 other fields	High correlation
`seat_count_max` is highly overall correlated with `seat_count_min`	High correlation
`seat_count_min` is highly overall correlated with `pow_resrv` and 1 other fields	High correlation
`st_wheel` is highly overall correlated with `pow_resrv`	High correlation
`state_mark` is highly overall correlated with `pow_resrv` and 1 other fields	High correlation
`turbocharg` is highly overall correlated with `pow_resrv`	High correlation
`v_bag_max` is highly overall correlated with `v_bag_min`	High correlation
`v_bag_min` is highly overall correlated with `gross_weight` and 2 other fields	High correlation
`v_tank` is highly overall correlated with `curb_weight` and 9 other fields	High correlation
`width` is highly overall correlated with `acceleration` and 11 other fields	High correlation
`year` is highly overall correlated with `car_price` and 3 other fields	High correlation
`avail` is highly imbalanced (83.2%)	Imbalance
`eng_type` is highly imbalanced (74.9%)	Imbalance
`st_wheel` is highly imbalanced (80.2%)	Imbalance
`customs` is highly imbalanced (99.9%)	Imbalance
`front_brakes` is highly imbalanced (93.9%)	Imbalance
`engine_loc1` is highly imbalanced (96.2%)	Imbalance
`eng_size` has 1818 (1.1%) missing values	Missing
`pow_resrv` has 162046 (98.9%) missing values	Missing
`v_tank` has 53386 (32.6%) missing values	Missing
`curb_weight` has 3672 (2.2%) missing values	Missing
`gross_weight` has 15621 (9.5%) missing values	Missing
`rear_brakes` has 1884 (1.1%) missing values	Missing
`max_speed` has 6198 (3.8%) missing values	Missing
`acceleration` has 58350 (35.6%) missing values	Missing
`fuel_cons` has 65200 (39.8%) missing values	Missing
`fuel_brand` has 2420 (1.5%) missing values	Missing
`engine_loc1` has 1939 (1.2%) missing values	Missing
`engine_loc2` has 2939 (1.8%) missing values	Missing
`turbocharg` has 1891 (1.2%) missing values	Missing
`max_torq` has 50819 (31.0%) missing values	Missing
`cyl_count` has 1818 (1.1%) missing values	Missing
`seat_count_min` has 158775 (96.9%) missing values	Missing
`clearence_max` has 3177 (1.9%) missing values	Missing
`v_bag_max` has 58564 (35.7%) missing values	Missing
`v_bag_min` has 58564 (35.7%) missing values	Missing
`car_price` is highly skewed (γ1 = 35.99555867)	Skewed
`max_torq` is highly skewed (γ1 = 31.57520195)	Skewed

Reproduction

Analysis started	2024-12-29 21:10:05.803125
Analysis finished	2024-12-29 21:11:21.839222
Duration	1 minute and 16.04 seconds
Software version	ydata-profiling vv4.12.1
Download configuration	config.json

car_make
Text

Distinct	215
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	25
Median length	19
Mean length	7.0447871
Min length	2

Characters and Unicode

Total characters	1154387
Distinct characters	84
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	< 0.1%

Sample

1st row	Abarth
2nd row	Abarth
3rd row	Abarth
4th row	Abarth
5th row	Abarth

Value	Count	Frequency (%)
lada	32366	16.1%
ваз	32366	16.1%
chevrolet	12811	6.4%
bmw	7039	3.5%
renault	4881	2.4%
skoda	4855	2.4%
toyota	4646	2.3%
volkswagen	4255	2.1%
audi	4069	2.0%
chery	4062	2.0%
Other values (225)	89961	44.7%

Most occurring characters

Value	Count	Frequency (%)
a	124756	10.8%
e	89274	7.7%
o	67159	5.8%
d	55981	4.8%
L	41729	3.6%
З	38583	3.3%
А	37899	3.3%
n	37713	3.3%
	37447	3.2%
l	37086	3.2%
Other values (74)	586760	50.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1154387	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	124756	10.8%
e	89274	7.7%
o	67159	5.8%
d	55981	4.8%
L	41729	3.6%
З	38583	3.3%
А	37899	3.3%
n	37713	3.3%
	37447	3.2%
l	37086	3.2%
Other values (74)	586760	50.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1154387	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	124756	10.8%
e	89274	7.7%
o	67159	5.8%
d	55981	4.8%
L	41729	3.6%
З	38583	3.3%
А	37899	3.3%
n	37713	3.3%
	37447	3.2%
l	37086	3.2%
Other values (74)	586760	50.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1154387	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	124756	10.8%
e	89274	7.7%
o	67159	5.8%
d	55981	4.8%
L	41729	3.6%
З	38583	3.3%
А	37899	3.3%
n	37713	3.3%
	37447	3.2%
l	37086	3.2%
Other values (74)	586760	50.8%

car_model
Text

Distinct	1985
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	32
Median length	22
Mean length	5.7635539
Min length	1

Characters and Unicode

Total characters	944439
Distinct characters	115
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	375 ?
Unique (%)	0.2%

Sample

1st row	500
2nd row	500
3rd row	500
4th row	500
5th row	500

Value	Count	Frequency (%)
granta	4434	2.3%
2114	4144	2.1%
серии	3669	1.9%
4x4	3497	1.8%
niva	3102	1.6%
tiggo	3026	1.6%
2121	2982	1.5%
2110	2563	1.3%
2112	2249	1.2%
3	2215	1.1%
Other values (1829)	161889	83.5%

Most occurring characters

Value	Count	Frequency (%)
a	86163	9.1%
r	57576	6.1%
e	51696	5.5%
o	47745	5.1%
1	45459	4.8%
n	38624	4.1%
t	38317	4.1%
i	37657	4.0%
	29906	3.2%
2	28856	3.1%
Other values (105)	482440	51.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	944439	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	86163	9.1%
r	57576	6.1%
e	51696	5.5%
o	47745	5.1%
1	45459	4.8%
n	38624	4.1%
t	38317	4.1%
i	37657	4.0%
	29906	3.2%
2	28856	3.1%
Other values (105)	482440	51.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	944439	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	86163	9.1%
r	57576	6.1%
e	51696	5.5%
o	47745	5.1%
1	45459	4.8%
n	38624	4.1%
t	38317	4.1%
i	37657	4.0%
	29906	3.2%
2	28856	3.1%
Other values (105)	482440	51.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	944439	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	86163	9.1%
r	57576	6.1%
e	51696	5.5%
o	47745	5.1%
1	45459	4.8%
n	38624	4.1%
t	38317	4.1%
i	37657	4.0%
	29906	3.2%
2	28856	3.1%
Other values (105)	482440	51.1%

car_gen
Text

Distinct	1280
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	34
Median length	31
Mean length	7.727103
Min length	1

Characters and Unicode

Total characters	1266194
Distinct characters	81
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	241 ?
Unique (%)	0.1%

Sample

1st row	I Рестайлинг
2nd row	I
3rd row	I Рестайлинг
4th row	I
5th row	I Рестайлинг

Value	Count	Frequency (%)
i	70539	28.2%
рестайлинг	52143	20.8%
ii	25051	10.0%
iii	13847	5.5%
iv	7792	3.1%
v	4359	1.7%
2001-2013	4144	1.7%
2	3167	1.3%
1995-2014	2563	1.0%
vi	2542	1.0%
Other values (896)	64072	25.6%

Most occurring characters

Value	Count	Frequency (%)
I	179237	14.2%
	86355	6.8%
0	68787	5.4%
2	65307	5.2%
1	56581	4.5%
н	56135	4.4%
е	52147	4.1%
л	52146	4.1%
т	52146	4.1%
и	52146	4.1%
Other values (71)	545207	43.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1266194	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	179237	14.2%
	86355	6.8%
0	68787	5.4%
2	65307	5.2%
1	56581	4.5%
н	56135	4.4%
е	52147	4.1%
л	52146	4.1%
т	52146	4.1%
и	52146	4.1%
Other values (71)	545207	43.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1266194	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	179237	14.2%
	86355	6.8%
0	68787	5.4%
2	65307	5.2%
1	56581	4.5%
н	56135	4.4%
е	52147	4.1%
л	52146	4.1%
т	52146	4.1%
и	52146	4.1%
Other values (71)	545207	43.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1266194	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	179237	14.2%
	86355	6.8%
0	68787	5.4%
2	65307	5.2%
1	56581	4.5%
н	56135	4.4%
е	52147	4.1%
л	52146	4.1%
т	52146	4.1%
и	52146	4.1%
Other values (71)	545207	43.1%

car_type
Text

Distinct	289
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	37
Median length	36
Mean length	12.19258
Min length	4

Characters and Unicode

Total characters	1997925
Distinct characters	109
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	< 0.1%

Sample

1st row	Кабриолет
2nd row	Кабриолет
3rd row	Кабриолет
4th row	Хэтчбек 3 дв.
5th row	Хэтчбек 3 дв.

Value	Count	Frequency (%)
дв	98560	26.3%
5	91417	24.4%
внедорожник	64162	17.1%
седан	47858	12.8%
хэтчбек	26291	7.0%
универсал	8216	2.2%
3	7002	1.9%
лифтбек	6924	1.8%
минивэн	2387	0.6%
компактвэн	2324	0.6%
Other values (217)	19451	5.2%

Most occurring characters

Value	Count	Frequency (%)
д	211132	10.6%
	210728	10.5%
н	196356	9.8%
е	156243	7.8%
о	134725	6.7%
в	113700	5.7%
к	104091	5.2%
.	98560	4.9%
5	91456	4.6%
и	88550	4.4%
Other values (99)	592384	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1997925	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
д	211132	10.6%
	210728	10.5%
н	196356	9.8%
е	156243	7.8%
о	134725	6.7%
в	113700	5.7%
к	104091	5.2%
.	98560	4.9%
5	91456	4.6%
и	88550	4.4%
Other values (99)	592384	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1997925	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
д	211132	10.6%
	210728	10.5%
н	196356	9.8%
е	156243	7.8%
о	134725	6.7%
в	113700	5.7%
к	104091	5.2%
.	98560	4.9%
5	91456	4.6%
и	88550	4.4%
Other values (99)	592384	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1997925	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
д	211132	10.6%
	210728	10.5%
н	196356	9.8%
е	156243	7.8%
о	134725	6.7%
в	113700	5.7%
к	104091	5.2%
.	98560	4.9%
5	91456	4.6%
и	88550	4.4%
Other values (99)	592384	29.6%

car_compl
Text

Distinct	6559
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	53
Median length	51
Mean length	19.837329
Min length	16

Characters and Unicode

Total characters	3250624
Distinct characters	108
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1959 ?
Unique (%)	1.2%

Sample

1st row	1.4 MT (180 л.с.)
2nd row	1.4 MT (135 л.с.)
3rd row	1.4 AMT (180 л.с.)
4th row	1.4 MT (135 л.с.)
5th row	1.4 AT (159 л.с.)

Value	Count	Frequency (%)
л.с	162046	21.4%
mt	73659	9.7%
at	62727	8.3%
4wd	60291	8.0%
1.6	42202	5.6%
2.0	21420	2.8%
1.5	20462	2.7%
amt	14562	1.9%
cvt	12988	1.7%
150	9502	1.3%
Other values (1520)	277294	36.6%

Most occurring characters

Value	Count	Frequency (%)
	593289	18.3%
.	487724	15.0%
1	205180	6.3%
T	166628	5.1%
)	164151	5.0%
(	164151	5.0%
л	162189	5.0%
с	162144	5.0%
0	126116	3.9%
4	116723	3.6%
Other values (98)	902329	27.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3250624	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	593289	18.3%
.	487724	15.0%
1	205180	6.3%
T	166628	5.1%
)	164151	5.0%
(	164151	5.0%
л	162189	5.0%
с	162144	5.0%
0	126116	3.9%
4	116723	3.6%
Other values (98)	902329	27.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3250624	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	593289	18.3%
.	487724	15.0%
1	205180	6.3%
T	166628	5.1%
)	164151	5.0%
(	164151	5.0%
л	162189	5.0%
с	162144	5.0%
0	126116	3.9%
4	116723	3.6%
Other values (98)	902329	27.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3250624	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	593289	18.3%
.	487724	15.0%
1	205180	6.3%
T	166628	5.1%
)	164151	5.0%
(	164151	5.0%
л	162189	5.0%
с	162144	5.0%
0	126116	3.9%
4	116723	3.6%
Other values (98)	902329	27.8%

ann_date
Date

Distinct	366
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Minimum	2024-01-01 00:00:00
Maximum	2024-12-31 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

car_price
Real number (ℝ)

High correlation Skewed

Distinct	12331
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2113057.9

Minimum	10500
Maximum	5.5 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	10500
5-th percentile	149000
Q1	470000
median	1000000
Q3	2100000
95-th percentile	6900000
Maximum	5.5 × 10⁸
Range	5.499895 × 10⁸
Interquartile range (IQR)	1630000

Descriptive statistics

Standard deviation	5410261.7
Coefficient of variation (CV)	2.5603944
Kurtosis	2707.988
Mean	2113057.9
Median Absolute Deviation (MAD)	680000
Skewness	35.995559
Sum	3.4625412 × 10¹¹
Variance	2.9270932 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250000	1567	1.0%
350000	1466	0.9%
650000	1465	0.9%
850000	1407	0.9%
750000	1354	0.8%
150000	1351	0.8%
200000	1290	0.8%
1100000	1272	0.8%
450000	1267	0.8%
800000	1247	0.8%
Other values (12321)	150178	91.6%

Value	Count	Frequency (%)
10500	1	< 0.1%
16000	1	< 0.1%
25000	2	< 0.1%
26000	1	< 0.1%
27000	1	< 0.1%
28000	2	< 0.1%
29000	1	< 0.1%
30000	5	< 0.1%
32000	3	< 0.1%
33000	1	< 0.1%

Value	Count	Frequency (%)
550000000	1	< 0.1%
516000000	1	< 0.1%
500370240	1	< 0.1%
426615810	1	< 0.1%
420000000	1	< 0.1%
400000000	2	< 0.1%
378670240	1	< 0.1%
307000000	1	< 0.1%
290000000	1	< 0.1%
187000000	1	< 0.1%

ann_city
Text

Distinct	4773
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	48
Median length	37
Mean length	8.5623017
Min length	2

Characters and Unicode

Total characters	1403053
Distinct characters	78
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2088 ?
Unique (%)	1.3%

Sample

1st row	Обнинск
2nd row	Минск
3rd row	Санкт-Петербург
4th row	Москва
5th row	Москва

Value	Count	Frequency (%)
москва	26055	15.1%
санкт-петербург	9302	5.4%
владивосток	5061	2.9%
екатеринбург	4008	2.3%
краснодар	3966	2.3%
казань	3464	2.0%
нижний	2997	1.7%
новгород	2944	1.7%
воронеж	2903	1.7%
новосибирск	2751	1.6%
Other values (4722)	108789	63.2%

Most occurring characters

Value	Count	Frequency (%)
о	140945	10.0%
а	136254	9.7%
к	100440	7.2%
р	98856	7.0%
с	95303	6.8%
н	77782	5.5%
е	74330	5.3%
в	70766	5.0%
и	57428	4.1%
т	49590	3.5%
Other values (68)	501359	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1403053	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
о	140945	10.0%
а	136254	9.7%
к	100440	7.2%
р	98856	7.0%
с	95303	6.8%
н	77782	5.5%
е	74330	5.3%
в	70766	5.0%
и	57428	4.1%
т	49590	3.5%
Other values (68)	501359	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1403053	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
о	140945	10.0%
а	136254	9.7%
к	100440	7.2%
р	98856	7.0%
с	95303	6.8%
н	77782	5.5%
е	74330	5.3%
в	70766	5.0%
и	57428	4.1%
т	49590	3.5%
Other values (68)	501359	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1403053	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
о	140945	10.0%
а	136254	9.7%
к	100440	7.2%
р	98856	7.0%
с	95303	6.8%
н	77782	5.5%
е	74330	5.3%
в	70766	5.0%
и	57428	4.1%
т	49590	3.5%
Other values (68)	501359	35.7%

avail
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

В наличии	156549
На заказ	7252
В пути	63

Length

Max length	9
Median length	9
Mean length	8.9545904
Min length	6

Characters and Unicode

Total characters	1467335
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	В наличии
2nd row	В наличии
3rd row	В наличии
4th row	В наличии
5th row	В наличии

Common Values

Value	Count	Frequency (%)
В наличии	156549	95.5%
На заказ	7252	4.4%
В пути	63	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
в	156612	47.8%
наличии	156549	47.8%
на	7252	2.2%
заказ	7252	2.2%
пути	63	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
и	469710	32.0%
а	178305	12.2%
	163864	11.2%
В	156612	10.7%
н	156549	10.7%
л	156549	10.7%
ч	156549	10.7%
з	14504	1.0%
Н	7252	0.5%
к	7252	0.5%
Other values (3)	189	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1467335	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
и	469710	32.0%
а	178305	12.2%
	163864	11.2%
В	156612	10.7%
н	156549	10.7%
л	156549	10.7%
ч	156549	10.7%
з	14504	1.0%
Н	7252	0.5%
к	7252	0.5%
Other values (3)	189	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1467335	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
и	469710	32.0%
а	178305	12.2%
	163864	11.2%
В	156612	10.7%
н	156549	10.7%
л	156549	10.7%
ч	156549	10.7%
з	14504	1.0%
Н	7252	0.5%
к	7252	0.5%
Other values (3)	189	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1467335	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
и	469710	32.0%
а	178305	12.2%
	163864	11.2%
В	156612	10.7%
н	156549	10.7%
л	156549	10.7%
ч	156549	10.7%
з	14504	1.0%
Н	7252	0.5%
к	7252	0.5%
Other values (3)	189	< 0.1%

year
Real number (ℝ)

High correlation

Distinct	92
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.221

Minimum	1923
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1923
5-th percentile	1999
Q1	2008
median	2013
Q3	2019
95-th percentile	2023
Maximum	2024
Range	101
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.597091
Coefficient of variation (CV)	0.0042724387
Kurtosis	7.9789514
Mean	2012.221
Median Absolute Deviation (MAD)	5
Skewness	-1.8699777
Sum	3.2973059 × 10⁸
Variance	73.909974
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2012	11235	6.9%
2011	10005	6.1%
2021	9918	6.1%
2013	9560	5.8%
2008	9553	5.8%
2007	8228	5.0%
2019	8089	4.9%
2014	7750	4.7%
2020	7731	4.7%
2023	7728	4.7%
Other values (82)	74067	45.2%

Value	Count	Frequency (%)
1923	1	< 0.1%
1932	1	< 0.1%
1935	2	< 0.1%
1936	2	< 0.1%
1937	5	< 0.1%
1938	4	< 0.1%
1939	5	< 0.1%
1940	1	< 0.1%
1941	5	< 0.1%
1942	4	< 0.1%

Value	Count	Frequency (%)
2024	4413	2.7%
2023	7728	4.7%
2022	4622	2.8%
2021	9918	6.1%
2020	7731	4.7%
2019	8089	4.9%
2018	7682	4.7%
2017	6279	3.8%
2016	5112	3.1%
2015	5061	3.1%

mileage
Real number (ℝ)

High correlation

Distinct	46705
Distinct (%)	28.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	144549.39

Minimum	1
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	6000
Q1	69147
median	140000
Q3	201677
95-th percentile	308000
Maximum	1000000
Range	999999
Interquartile range (IQR)	132530

Descriptive statistics

Standard deviation	97012.157
Coefficient of variation (CV)	0.67113503
Kurtosis	2.5028017
Mean	144549.39
Median Absolute Deviation (MAD)	67000
Skewness	0.87438009
Sum	2.3686441 × 10¹⁰
Variance	9.4113587 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200000	2928	1.8%
150000	2040	1.2%
250000	1893	1.2%
180000	1607	1.0%
100000	1541	0.9%
300000	1437	0.9%
170000	1331	0.8%
160000	1249	0.8%
190000	1136	0.7%
220000	1108	0.7%
Other values (46695)	147594	90.1%

Value	Count	Frequency (%)
1	359	0.2%
2	31	< 0.1%
3	42	< 0.1%
4	33	< 0.1%
5	202	0.1%
6	41	< 0.1%
7	51	< 0.1%
8	62	< 0.1%
9	30	< 0.1%
10	605	0.4%

Value	Count	Frequency (%)
1000000	7	< 0.1%
999999	23	< 0.1%
999990	1	< 0.1%
999985	2	< 0.1%
998321	1	< 0.1%
992588	1	< 0.1%
989852	1	< 0.1%
966666	1	< 0.1%
960000	1	< 0.1%
958336	1	< 0.1%

color
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

чёрный	35668
белый	34812
серый	27014
серебристый	18015
синий	14040
Other values (11)	34315

Length

Max length	11
Median length	10
Mean length	6.46967
Min length	5

Characters and Unicode

Total characters	1060146
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	серебристый
2nd row	чёрный
3rd row	белый
4th row	серый
5th row	чёрный

Common Values

Value	Count	Frequency (%)
чёрный	35668	21.8%
белый	34812	21.2%
серый	27014	16.5%
серебристый	18015	11.0%
синий	14040	8.6%
красный	9161	5.6%
зелёный	7575	4.6%
коричневый	5783	3.5%
бежевый	3524	2.2%
голубой	2227	1.4%
Other values (6)	6045	3.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
чёрный	35668	21.8%
белый	34812	21.2%
серый	27014	16.5%
серебристый	18015	11.0%
синий	14040	8.6%
красный	9161	5.6%
зелёный	7575	4.6%
коричневый	5783	3.5%
бежевый	3524	2.2%
голубой	2227	1.4%
Other values (6)	6045	3.7%

Most occurring characters

Value	Count	Frequency (%)
й	163864	15.5%
ы	147597	13.9%
е	120441	11.4%
р	118034	11.1%
с	87391	8.2%
н	74935	7.1%
б	58578	5.5%
и	54119	5.1%
л	47905	4.5%
ё	44293	4.2%
Other values (12)	142989	13.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1060146	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
й	163864	15.5%
ы	147597	13.9%
е	120441	11.4%
р	118034	11.1%
с	87391	8.2%
н	74935	7.1%
б	58578	5.5%
и	54119	5.1%
л	47905	4.5%
ё	44293	4.2%
Other values (12)	142989	13.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1060146	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
й	163864	15.5%
ы	147597	13.9%
е	120441	11.4%
р	118034	11.1%
с	87391	8.2%
н	74935	7.1%
б	58578	5.5%
и	54119	5.1%
л	47905	4.5%
ё	44293	4.2%
Other values (12)	142989	13.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1060146	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
й	163864	15.5%
ы	147597	13.9%
е	120441	11.4%
р	118034	11.1%
с	87391	8.2%
н	74935	7.1%
б	58578	5.5%
и	54119	5.1%
л	47905	4.5%
ё	44293	4.2%
Other values (12)	142989	13.5%

eng_size
Real number (ℝ)

High correlation Missing

Distinct	74
Distinct (%)	< 0.1%
Missing	1818
Missing (%)	1.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.0111055

Minimum	0.2
Maximum	8.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0.2
5-th percentile	1.3
Q1	1.6
median	1.6
Q3	2
95-th percentile	3.6
Maximum	8.3
Range	8.1
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.84046286
Coefficient of variation (CV)	0.41791088
Kurtosis	7.8078814
Mean	2.0111055
Median Absolute Deviation (MAD)	0.2
Skewness	2.4583195
Sum	325891.6
Variance	0.70637782
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.6	42908	26.2%
2	26968	16.5%
1.5	22583	13.8%
3	8759	5.3%
2.5	7589	4.6%
1.4	7188	4.4%
1.8	6658	4.1%
1.7	6314	3.9%
2.4	4233	2.6%
2.7	2658	1.6%
Other values (64)	26188	16.0%

Value	Count	Frequency (%)
0.2	2	< 0.1%
0.4	4	< 0.1%
0.5	1	< 0.1%
0.6	29	< 0.1%
0.7	838	0.5%
0.8	1618	1.0%
0.9	78	< 0.1%
1	895	0.5%
1.1	156	0.1%
1.2	2549	1.6%

Value	Count	Frequency (%)
8.3	3	< 0.1%
8.2	3	< 0.1%
8.1	1	< 0.1%
8	8	< 0.1%
7.7	6	< 0.1%
7.6	1	< 0.1%
7.5	5	< 0.1%
7.4	2	< 0.1%
7	6	< 0.1%
6.8	234	0.1%

eng_power
Real number (ℝ)

High correlation

Distinct	528
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	159.93452

Minimum	10
Maximum	1500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	10
5-th percentile	73
Q1	90
median	129
Q3	184
95-th percentile	379
Maximum	1500
Range	1490
Interquartile range (IQR)	94

Descriptive statistics

Standard deviation	106.21331
Coefficient of variation (CV)	0.66410498
Kurtosis	10.61926
Mean	159.93452
Median Absolute Deviation (MAD)	42
Skewness	2.6675134
Sum	26207510
Variance	11281.267
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	9493	5.8%
90	5698	3.5%
81	5046	3.1%
106	4294	2.6%
80	4218	2.6%
109	3965	2.4%
249	3754	2.3%
140	3248	2.0%
87	2671	1.6%
105	2607	1.6%
Other values (518)	118870	72.5%

Value	Count	Frequency (%)
10	2	< 0.1%
12	3	< 0.1%
13	2	< 0.1%
19	2	< 0.1%
23	7	< 0.1%
25	3	< 0.1%
26	8	< 0.1%
27	28	< 0.1%
29	18	< 0.1%
30	4	< 0.1%

Value	Count	Frequency (%)
1500	7	< 0.1%
1265	11	< 0.1%
1197	18	< 0.1%
1035	8	< 0.1%
1020	10	< 0.1%
1015	4	< 0.1%
1014	10	< 0.1%
1000	1	< 0.1%
966	2	< 0.1%
925	2	< 0.1%

eng_type
Categorical

High correlation Imbalance

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Бензин	139941
Дизель	17130
Гибрид	2593
Бензин, газобаллонное оборудование	2296
Электро	1818
Other values (4)	86

Length

Max length	34
Median length	6
Mean length	6.4076307
Min length	3

Characters and Unicode

Total characters	1049980
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Бензин
2nd row	Бензин
3rd row	Бензин
4th row	Бензин
5th row	Бензин

Common Values

Value	Count	Frequency (%)
Бензин	139941	85.4%
Дизель	17130	10.5%
Гибрид	2593	1.6%
Бензин, газобаллонное оборудование	2296	1.4%
Электро	1818	1.1%
Газ	53	< 0.1%
Газ, газобаллонное оборудование	25	< 0.1%
Дизель, газобаллонное оборудование	6	< 0.1%
Гибрид, газобаллонное оборудование	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
бензин	142237	84.4%
дизель	17136	10.2%
гибрид	2595	1.5%
газобаллонное	2329	1.4%
оборудование	2329	1.4%
электро	1818	1.1%
газ	78	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
н	291461	27.8%
и	166892	15.9%
е	165849	15.8%
з	161780	15.4%
Б	142237	13.5%
л	23612	2.2%
Д	17136	1.6%
ь	17136	1.6%
о	15792	1.5%
б	7253	0.7%
Other values (12)	40832	3.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1049980	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
н	291461	27.8%
и	166892	15.9%
е	165849	15.8%
з	161780	15.4%
Б	142237	13.5%
л	23612	2.2%
Д	17136	1.6%
ь	17136	1.6%
о	15792	1.5%
б	7253	0.7%
Other values (12)	40832	3.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1049980	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
н	291461	27.8%
и	166892	15.9%
е	165849	15.8%
з	161780	15.4%
Б	142237	13.5%
л	23612	2.2%
Д	17136	1.6%
ь	17136	1.6%
о	15792	1.5%
б	7253	0.7%
Other values (12)	40832	3.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1049980	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
н	291461	27.8%
и	166892	15.9%
е	165849	15.8%
з	161780	15.4%
Б	142237	13.5%
л	23612	2.2%
Д	17136	1.6%
ь	17136	1.6%
о	15792	1.5%
б	7253	0.7%
Other values (12)	40832	3.9%

pow_resrv
Real number (ℝ)

High correlation Missing

Distinct	197
Distinct (%)	10.8%
Missing	162046
Missing (%)	98.9%
Infinite	0
Infinite (%)	0.0%
Mean	534.73707

Minimum	120
Maximum	1055
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	120
5-th percentile	301
Q1	433
median	533
Q3	650
95-th percentile	770
Maximum	1055
Range	935
Interquartile range (IQR)	217

Descriptive statistics

Standard deviation	141.43738
Coefficient of variation (CV)	0.26449892
Kurtosis	0.2824453
Mean	534.73707
Median Absolute Deviation (MAD)	108
Skewness	-0.23219889
Sum	972152
Variance	20004.532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
656	134	0.1%
705	75	< 0.1%
560	59	< 0.1%
451	57	< 0.1%
650	55	< 0.1%
580	46	< 0.1%
800	45	< 0.1%
417	43	< 0.1%
423	39	< 0.1%
407	35	< 0.1%
Other values (187)	1230	0.8%
(Missing)	162046	98.9%

Value	Count	Frequency (%)
120	2	< 0.1%
132	3	< 0.1%
135	1	< 0.1%
140	10	< 0.1%
145	6	< 0.1%
150	1	< 0.1%
155	3	< 0.1%
175	6	< 0.1%
190	5	< 0.1%
199	13	< 0.1%

Value	Count	Frequency (%)
1055	1	< 0.1%
1010	1	< 0.1%
940	1	< 0.1%
930	1	< 0.1%
905	1	< 0.1%
850	1	< 0.1%
830	10	< 0.1%
822	14	< 0.1%
805	1	< 0.1%
800	45	< 0.1%

options
Text

Distinct	3427
Distinct (%)	2.1%
Missing	10
Missing (%)	< 0.1%
Memory size	1.3 MiB

Length

Max length	50
Median length	46
Mean length	8.0162462
Min length	1

Characters and Unicode

Total characters	1313494
Distinct characters	133
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	760 ?
Unique (%)	0.5%

Sample

1st row	1 опция
2nd row	26 опций
3rd row	1 опция
4th row	19 опций
5th row	16 опций

Value	Count	Frequency (%)
опция	56105	19.0%
1	53851	18.2%
опций	25787	8.7%
опции	13791	4.7%
comfort	3993	1.4%
2	3731	1.3%
sport	2644	0.9%
3	2152	0.7%
luxury	2119	0.7%
luxe	2118	0.7%
Other values (1753)	129238	43.7%

Most occurring characters

Value	Count	Frequency (%)
	131675	10.0%
и	112041	8.5%
о	100134	7.6%
ц	96008	7.3%
п	95997	7.3%
1	74190	5.6%
я	58569	4.5%
e	36737	2.8%
i	35254	2.7%
r	28393	2.2%
Other values (123)	544496	41.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1313494	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	131675	10.0%
и	112041	8.5%
о	100134	7.6%
ц	96008	7.3%
п	95997	7.3%
1	74190	5.6%
я	58569	4.5%
e	36737	2.8%
i	35254	2.7%
r	28393	2.2%
Other values (123)	544496	41.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1313494	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	131675	10.0%
и	112041	8.5%
о	100134	7.6%
ц	96008	7.3%
п	95997	7.3%
1	74190	5.6%
я	58569	4.5%
e	36737	2.8%
i	35254	2.7%
r	28393	2.2%
Other values (123)	544496	41.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1313494	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	131675	10.0%
и	112041	8.5%
о	100134	7.6%
ц	96008	7.3%
п	95997	7.3%
1	74190	5.6%
я	58569	4.5%
e	36737	2.8%
i	35254	2.7%
r	28393	2.2%
Other values (123)	544496	41.5%

transmission
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

механическая	73659
автоматическая	62727
роботизированная	14490
вариатор	12988

Length

Max length	16
Median length	14
Mean length	12.802263
Min length	8

Characters and Unicode

Total characters	2097830
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	механическая
2nd row	механическая
3rd row	роботизированная
4th row	механическая
5th row	автоматическая

Common Values

Value	Count	Frequency (%)
механическая	73659	45.0%
автоматическая	62727	38.3%
роботизированная	14490	8.8%
вариатор	12988	7.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
механическая	73659	45.0%
автоматическая	62727	38.3%
роботизированная	14490	8.8%
вариатор	12988	7.9%

Most occurring characters

Value	Count	Frequency (%)
а	390455	18.6%
е	210045	10.0%
и	178354	8.5%
т	152932	7.3%
я	150876	7.2%
ч	136386	6.5%
с	136386	6.5%
м	136386	6.5%
к	136386	6.5%
о	119185	5.7%
Other values (6)	350439	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2097830	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
а	390455	18.6%
е	210045	10.0%
и	178354	8.5%
т	152932	7.3%
я	150876	7.2%
ч	136386	6.5%
с	136386	6.5%
м	136386	6.5%
к	136386	6.5%
о	119185	5.7%
Other values (6)	350439	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2097830	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
а	390455	18.6%
е	210045	10.0%
и	178354	8.5%
т	152932	7.3%
я	150876	7.2%
ч	136386	6.5%
с	136386	6.5%
м	136386	6.5%
к	136386	6.5%
о	119185	5.7%
Other values (6)	350439	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2097830	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
а	390455	18.6%
е	210045	10.0%
и	178354	8.5%
т	152932	7.3%
я	150876	7.2%
ч	136386	6.5%
с	136386	6.5%
м	136386	6.5%
к	136386	6.5%
о	119185	5.7%
Other values (6)	350439	16.7%

drive
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

передний	93008
полный	60291
задний	10565

Length

Max length	8
Median length	8
Mean length	7.1351853
Min length	6

Characters and Unicode

Total characters	1169200
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	передний
2nd row	передний
3rd row	передний
4th row	передний
5th row	передний

Common Values

Value	Count	Frequency (%)
передний	93008	56.8%
полный	60291	36.8%
задний	10565	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
передний	93008	56.8%
полный	60291	36.8%
задний	10565	6.4%

Most occurring characters

Value	Count	Frequency (%)
е	186016	15.9%
н	163864	14.0%
й	163864	14.0%
п	153299	13.1%
и	103573	8.9%
д	103573	8.9%
р	93008	8.0%
о	60291	5.2%
л	60291	5.2%
ы	60291	5.2%
Other values (2)	21130	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1169200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
е	186016	15.9%
н	163864	14.0%
й	163864	14.0%
п	153299	13.1%
и	103573	8.9%
д	103573	8.9%
р	93008	8.0%
о	60291	5.2%
л	60291	5.2%
ы	60291	5.2%
Other values (2)	21130	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1169200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
е	186016	15.9%
н	163864	14.0%
й	163864	14.0%
п	153299	13.1%
и	103573	8.9%
д	103573	8.9%
р	93008	8.0%
о	60291	5.2%
л	60291	5.2%
ы	60291	5.2%
Other values (2)	21130	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1169200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
е	186016	15.9%
н	163864	14.0%
й	163864	14.0%
п	153299	13.1%
и	103573	8.9%
д	103573	8.9%
р	93008	8.0%
о	60291	5.2%
л	60291	5.2%
ы	60291	5.2%
Other values (2)	21130	1.8%

st_wheel
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Левый	158830
Правый	5034

Length

Max length	6
Median length	5
Mean length	5.0307206
Min length	5

Characters and Unicode

Total characters	824354
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Левый
2nd row	Левый
3rd row	Левый
4th row	Левый
5th row	Левый

Common Values

Value	Count	Frequency (%)
Левый	158830	96.9%
Правый	5034	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
левый	158830	96.9%
правый	5034	3.1%

Most occurring characters

Value	Count	Frequency (%)
ы	163864	19.9%
в	163864	19.9%
й	163864	19.9%
е	158830	19.3%
Л	158830	19.3%
П	5034	0.6%
р	5034	0.6%
а	5034	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	824354	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
ы	163864	19.9%
в	163864	19.9%
й	163864	19.9%
е	158830	19.3%
Л	158830	19.3%
П	5034	0.6%
р	5034	0.6%
а	5034	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	824354	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
ы	163864	19.9%
в	163864	19.9%
й	163864	19.9%
е	158830	19.3%
Л	158830	19.3%
П	5034	0.6%
р	5034	0.6%
а	5034	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	824354	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
ы	163864	19.9%
в	163864	19.9%
й	163864	19.9%
е	158830	19.3%
Л	158830	19.3%
П	5034	0.6%
р	5034	0.6%
а	5034	0.6%

condition
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Не требует ремонта	163864

Length

Max length	18
Median length	18
Mean length	18
Min length	18

Characters and Unicode

Total characters	2949552
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Не требует ремонта
2nd row	Не требует ремонта
3rd row	Не требует ремонта
4th row	Не требует ремонта
5th row	Не требует ремонта

Common Values

Value	Count	Frequency (%)
Не требует ремонта	163864	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
не	163864	33.3%
требует	163864	33.3%
ремонта	163864	33.3%

Most occurring characters

Value	Count	Frequency (%)
е	655456	22.2%
т	491592	16.7%
	327728	11.1%
р	327728	11.1%
Н	163864	5.6%
б	163864	5.6%
у	163864	5.6%
м	163864	5.6%
о	163864	5.6%
н	163864	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2949552	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
е	655456	22.2%
т	491592	16.7%
	327728	11.1%
р	327728	11.1%
Н	163864	5.6%
б	163864	5.6%
у	163864	5.6%
м	163864	5.6%
о	163864	5.6%
н	163864	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2949552	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
е	655456	22.2%
т	491592	16.7%
	327728	11.1%
р	327728	11.1%
Н	163864	5.6%
б	163864	5.6%
у	163864	5.6%
м	163864	5.6%
о	163864	5.6%
н	163864	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2949552	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
е	655456	22.2%
т	491592	16.7%
	327728	11.1%
р	327728	11.1%
Н	163864	5.6%
б	163864	5.6%
у	163864	5.6%
м	163864	5.6%
о	163864	5.6%
н	163864	5.6%

count_owner
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	47
Missing (%)	< 0.1%
Memory size	1.3 MiB

3.0	73831
1.0	54087
2.0	35899

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	491451
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	73831	45.1%
1.0	54087	33.0%
2.0	35899	21.9%
(Missing)	47	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	73831	45.1%
1.0	54087	33.0%
2.0	35899	21.9%

Most occurring characters

Value	Count	Frequency (%)
.	163817	33.3%
0	163817	33.3%
3	73831	15.0%
1	54087	11.0%
2	35899	7.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	491451	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	163817	33.3%
0	163817	33.3%
3	73831	15.0%
1	54087	11.0%
2	35899	7.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	491451	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	163817	33.3%
0	163817	33.3%
3	73831	15.0%
1	54087	11.0%
2	35899	7.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	491451	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	163817	33.3%
0	163817	33.3%
3	73831	15.0%
1	54087	11.0%
2	35899	7.3%

original_pts
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	842
Missing (%)	0.5%
Memory size	1.3 MiB

Оригинал	133240
Дубликат	29782

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	1304176
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Оригинал
2nd row	Оригинал
3rd row	Оригинал
4th row	Оригинал
5th row	Оригинал

Common Values

Value	Count	Frequency (%)
Оригинал	133240	81.3%
Дубликат	29782	18.2%
(Missing)	842	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
оригинал	133240	81.7%
дубликат	29782	18.3%

Most occurring characters

Value	Count	Frequency (%)
и	296262	22.7%
а	163022	12.5%
л	163022	12.5%
О	133240	10.2%
г	133240	10.2%
р	133240	10.2%
н	133240	10.2%
Д	29782	2.3%
у	29782	2.3%
б	29782	2.3%
Other values (2)	59564	4.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1304176	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
и	296262	22.7%
а	163022	12.5%
л	163022	12.5%
О	133240	10.2%
г	133240	10.2%
р	133240	10.2%
н	133240	10.2%
Д	29782	2.3%
у	29782	2.3%
б	29782	2.3%
Other values (2)	59564	4.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1304176	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
и	296262	22.7%
а	163022	12.5%
л	163022	12.5%
О	133240	10.2%
г	133240	10.2%
р	133240	10.2%
н	133240	10.2%
Д	29782	2.3%
у	29782	2.3%
б	29782	2.3%
Other values (2)	59564	4.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1304176	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
и	296262	22.7%
а	163022	12.5%
л	163022	12.5%
О	133240	10.2%
г	133240	10.2%
р	133240	10.2%
н	133240	10.2%
Д	29782	2.3%
у	29782	2.3%
б	29782	2.3%
Other values (2)	59564	4.6%

customs
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Растаможен	163848
Растаможен, нет\xa0ПТС	15
Растаможен, нет ПТС	1

Length

Max length	22
Median length	10
Mean length	10.001153
Min length	10

Characters and Unicode

Total characters	1638829
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Растаможен
2nd row	Растаможен
3rd row	Растаможен
4th row	Растаможен
5th row	Растаможен

Common Values

Value	Count	Frequency (%)
Растаможен	163848	> 99.9%
Растаможен, нет\xa0ПТС	15	< 0.1%
Растаможен, нет ПТС	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
растаможен	163864	> 99.9%
нет\xa0птс	15	< 0.1%
нет	1	< 0.1%
птс	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
а	327728	20.0%
е	163880	10.0%
т	163880	10.0%
н	163880	10.0%
Р	163864	10.0%
с	163864	10.0%
м	163864	10.0%
ж	163864	10.0%
о	163864	10.0%
,	16	< 0.1%
Other values (9)	125	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1638829	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
а	327728	20.0%
е	163880	10.0%
т	163880	10.0%
н	163880	10.0%
Р	163864	10.0%
с	163864	10.0%
м	163864	10.0%
ж	163864	10.0%
о	163864	10.0%
,	16	< 0.1%
Other values (9)	125	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1638829	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
а	327728	20.0%
е	163880	10.0%
т	163880	10.0%
н	163880	10.0%
Р	163864	10.0%
с	163864	10.0%
м	163864	10.0%
ж	163864	10.0%
о	163864	10.0%
,	16	< 0.1%
Other values (9)	125	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1638829	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
а	327728	20.0%
е	163880	10.0%
т	163880	10.0%
н	163880	10.0%
Р	163864	10.0%
с	163864	10.0%
м	163864	10.0%
ж	163864	10.0%
о	163864	10.0%
,	16	< 0.1%
Other values (9)	125	< 0.1%

state_mark
Categorical

High correlation

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Россия	37893
Германия	23943
Япония	20192
США	18841
Китай	15158
Other values (35)	47837

Length

Max length	29
Median length	15
Mean length	6.5492482
Min length	3

Characters and Unicode

Total characters	1073186
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	Италия
2nd row	Италия
3rd row	Италия
4th row	Италия
5th row	Италия

Common Values

Value	Count	Frequency (%)
Россия	37893	23.1%
Германия	23943	14.6%
Япония	20192	12.3%
США	18841	11.5%
Китай	15158	9.3%
Южная Корея	8884	5.4%
Франция	8857	5.4%
Япония	7233	4.4%
Великобритания	4380	2.7%
Швеция	3492	2.1%
Other values (30)	14991	9.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
россия	38082	22.0%
япония	27425	15.9%
германия	26204	15.2%
сша	19001	11.0%
китай	16708	9.7%
франция	11235	6.5%
южная	9092	5.3%
корея	9092	5.3%
великобритания	5082	2.9%
чехия	4859	2.8%
Other values (17)	6178	3.6%

Most occurring characters

Value	Count	Frequency (%)
и	145857	13.6%
я	136167	12.7%
н	80507	7.5%
о	79684	7.4%
с	76851	7.2%
а	71682	6.7%
р	52419	4.9%
е	49066	4.6%
Р	38144	3.6%
п	27801	2.6%
Other values (38)	315008	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1073186	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
и	145857	13.6%
я	136167	12.7%
н	80507	7.5%
о	79684	7.4%
с	76851	7.2%
а	71682	6.7%
р	52419	4.9%
е	49066	4.6%
Р	38144	3.6%
п	27801	2.6%
Other values (38)	315008	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1073186	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
и	145857	13.6%
я	136167	12.7%
н	80507	7.5%
о	79684	7.4%
с	76851	7.2%
а	71682	6.7%
р	52419	4.9%
е	49066	4.6%
Р	38144	3.6%
п	27801	2.6%
Other values (38)	315008	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1073186	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
и	145857	13.6%
я	136167	12.7%
н	80507	7.5%
о	79684	7.4%
с	76851	7.2%
а	71682	6.7%
р	52419	4.9%
е	49066	4.6%
Р	38144	3.6%
п	27801	2.6%
Other values (38)	315008	29.4%

class_auto
Categorical

High correlation

Distinct	9
Distinct (%)	< 0.1%
Missing	439
Missing (%)	0.3%
Memory size	1.3 MiB

B	43752
C	41806
D	25979
J	20911
E	17387
Other values (4)	13590

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	163425
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	A
3rd row	A
4th row	A
5th row	A

Common Values

Value	Count	Frequency (%)
B	43752	26.7%
C	41806	25.5%
D	25979	15.9%
J	20911	12.8%
E	17387	10.6%
M	5350	3.3%
F	3486	2.1%
A	3264	2.0%
S	1490	0.9%
(Missing)	439	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b	43752	26.8%
c	41806	25.6%
d	25979	15.9%
j	20911	12.8%
e	17387	10.6%
m	5350	3.3%
f	3486	2.1%
a	3264	2.0%
s	1490	0.9%

Most occurring characters

Value	Count	Frequency (%)
B	43752	26.8%
C	41806	25.6%
D	25979	15.9%
J	20911	12.8%
E	17387	10.6%
M	5350	3.3%
F	3486	2.1%
A	3264	2.0%
S	1490	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	163425	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	43752	26.8%
C	41806	25.6%
D	25979	15.9%
J	20911	12.8%
E	17387	10.6%
M	5350	3.3%
F	3486	2.1%
A	3264	2.0%
S	1490	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	163425	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	43752	26.8%
C	41806	25.6%
D	25979	15.9%
J	20911	12.8%
E	17387	10.6%
M	5350	3.3%
F	3486	2.1%
A	3264	2.0%
S	1490	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	163425	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	43752	26.8%
C	41806	25.6%
D	25979	15.9%
J	20911	12.8%
E	17387	10.6%
M	5350	3.3%
F	3486	2.1%
A	3264	2.0%
S	1490	0.9%

door_count
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5500232

Minimum	0
Maximum	5
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	5
Q3	5
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.66715147
Coefficient of variation (CV)	0.14662595
Kurtosis	2.4729551
Mean	4.5500232
Median Absolute Deviation (MAD)	0
Skewness	-1.5523111
Sum	745585
Variance	0.44509108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
5	103319	63.1%
4	50347	30.7%
3	7211	4.4%
2	2984	1.8%
0	2	< 0.1%
1	1	< 0.1%

Value	Count	Frequency (%)
0	2	< 0.1%
1	1	< 0.1%
2	2984	1.8%
3	7211	4.4%
4	50347	30.7%
5	103319	63.1%

Value	Count	Frequency (%)
5	103319	63.1%
4	50347	30.7%
3	7211	4.4%
2	2984	1.8%
1	1	< 0.1%
0	2	< 0.1%

long
Real number (ℝ)

High correlation

Distinct	1375
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4478.9061

Minimum	2488
Maximum	6330
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	2488
5-th percentile	3765
Q1	4260
median	4483
Q3	4735
95-th percentile	5039
Maximum	6330
Range	3842
Interquartile range (IQR)	475

Descriptive statistics

Standard deviation	380.05614
Coefficient of variation (CV)	0.08485468
Kurtosis	1.3014989
Mean	4478.9061
Median Absolute Deviation (MAD)	234
Skewness	-0.20855548
Sum	7.3393147 × 10⁸
Variance	144442.67
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4122	4619	2.8%
4330	3518	2.1%
4265	2559	1.6%
4048	2548	1.6%
3720	2371	1.4%
4410	2183	1.3%
4170	2162	1.3%
4500	2009	1.2%
4268	1750	1.1%
4237	1582	1.0%
Other values (1365)	138563	84.6%

Value	Count	Frequency (%)
2488	1	< 0.1%
2499	20	< 0.1%
2500	21	< 0.1%
2595	3	< 0.1%
2625	1	< 0.1%
2695	122	0.1%
2752	2	< 0.1%
2885	1	< 0.1%
2894	1	< 0.1%
2900	2	< 0.1%

Value	Count	Frequency (%)
6330	5	< 0.1%
6305	1	< 0.1%
6297	6	< 0.1%
6294	1	< 0.1%
6238	9	< 0.1%
6200	1	< 0.1%
6185	4	< 0.1%
6167	1	< 0.1%
6165	9	< 0.1%
6133	10	< 0.1%

width
Real number (ℝ)

High correlation

Distinct	497
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1791.7752

Minimum	1000
Maximum	2360
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1000
5-th percentile	1636
Q1	1700
median	1795
Q3	1860
95-th percentile	1984
Maximum	2360
Range	1360
Interquartile range (IQR)	160

Descriptive statistics

Standard deviation	113.56453
Coefficient of variation (CV)	0.063381012
Kurtosis	0.67442263
Mean	1791.7752
Median Absolute Deviation (MAD)	83
Skewness	0.19860795
Sum	2.9360746 × 10⁸
Variance	12896.902
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1680	10981	6.7%
1650	8008	4.9%
1700	7121	4.3%
1800	3897	2.4%
1770	3528	2.2%
1810	2818	1.7%
1840	2700	1.6%
1620	2613	1.6%
1815	2313	1.4%
1725	2175	1.3%
Other values (487)	117710	71.8%

Value	Count	Frequency (%)
1000	1	< 0.1%
1312	2	< 0.1%
1316	1	< 0.1%
1372	1	< 0.1%
1380	3	< 0.1%
1382	2	< 0.1%
1395	40	< 0.1%
1400	24	< 0.1%
1410	1	< 0.1%
1415	5	< 0.1%

Value	Count	Frequency (%)
2360	51	< 0.1%
2300	2	< 0.1%
2235	97	0.1%
2220	216	0.1%
2201	13	< 0.1%
2199	6	< 0.1%
2197	10	< 0.1%
2190	1	< 0.1%
2183	10	< 0.1%
2177	3	< 0.1%

height
Real number (ℝ)

High correlation

Distinct	727
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1576.2366

Minimum	1000
Maximum	2450
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1000
5-th percentile	1402
Q1	1454
median	1517
Q3	1685
95-th percentile	1875
Maximum	2450
Range	1450
Interquartile range (IQR)	231

Descriptive statistics

Standard deviation	151.09854
Coefficient of variation (CV)	0.095860315
Kurtosis	-0.0080427454
Mean	1576.2366
Median Absolute Deviation (MAD)	103
Skewness	0.72179207
Sum	2.5828844 × 10⁸
Variance	22830.769
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1402	7834	4.8%
1420	6696	4.1%
1500	6559	4.0%
1640	3901	2.4%
1705	3207	2.0%
1445	2792	1.7%
1652	2606	1.6%
1695	2528	1.5%
1440	2172	1.3%
1470	2165	1.3%
Other values (717)	123404	75.3%

Value	Count	Frequency (%)
1000	1	< 0.1%
1045	1	< 0.1%
1070	2	< 0.1%
1075	1	< 0.1%
1105	1	< 0.1%
1120	4	< 0.1%
1129	2	< 0.1%
1130	1	< 0.1%
1135	3	< 0.1%
1136	8	< 0.1%

Value	Count	Frequency (%)
2450	4	< 0.1%
2320	1	< 0.1%
2300	2	< 0.1%
2285	1	< 0.1%
2280	1	< 0.1%
2235	5	< 0.1%
2176	20	< 0.1%
2148	3	< 0.1%
2126	11	< 0.1%
2105	3	< 0.1%

v_tank
Real number (ℝ)

High correlation Missing

Distinct	103
Distinct (%)	0.1%
Missing	53386
Missing (%)	32.6%
Infinite	0
Infinite (%)	0.0%
Mean	61.220686

Minimum	16
Maximum	166
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	16
5-th percentile	43
Q1	51
median	60
Q3	70
95-th percentile	87
Maximum	166
Range	150
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	14.033058
Coefficient of variation (CV)	0.22922085
Kurtosis	1.2711302
Mean	61.220686
Median Absolute Deviation (MAD)	9
Skewness	0.84264182
Sum	6763539
Variance	196.92671
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	14744	9.0%
50	13690	8.4%
55	10991	6.7%
70	5797	3.5%
65	4748	2.9%
45	3614	2.2%
75	3344	2.0%
58	2868	1.8%
80	2748	1.7%
51	2636	1.6%
Other values (93)	45298	27.6%
(Missing)	53386	32.6%

Value	Count	Frequency (%)
16	1	< 0.1%
20	1	< 0.1%
22	20	< 0.1%
24	2	< 0.1%
26	1	< 0.1%
27	187	0.1%
28	90	0.1%
30	382	0.2%
31	11	< 0.1%
32	184	0.1%

Value	Count	Frequency (%)
166	2	< 0.1%
159	3	< 0.1%
140	17	< 0.1%
136	8	< 0.1%
132	2	< 0.1%
130	2	< 0.1%
129	8	< 0.1%
127	6	< 0.1%
125	97	0.1%
123	1	< 0.1%

curb_weight
Real number (ℝ)

High correlation Missing

Distinct	1422
Distinct (%)	0.9%
Missing	3672
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	1470.0675

Minimum	399
Maximum	4103
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	399
5-th percentile	970
Q1	1151
median	1395
Q3	1707
95-th percentile	2278
Maximum	4103
Range	3704
Interquartile range (IQR)	556

Descriptive statistics

Standard deviation	416.84809
Coefficient of variation (CV)	0.28355711
Kurtosis	0.32009954
Mean	1470.0675
Median Absolute Deviation (MAD)	270
Skewness	0.85477755
Sum	2.3549306 × 10⁸
Variance	173762.33
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
970	3306	2.0%
985	2899	1.8%
1075	2883	1.8%
1210	2593	1.6%
1400	2415	1.5%
1410	2122	1.3%
1080	1895	1.2%
1040	1837	1.1%
1540	1697	1.0%
1085	1415	0.9%
Other values (1412)	137130	83.7%
(Missing)	3672	2.2%

Value	Count	Frequency (%)
399	2	< 0.1%
425	1	< 0.1%
454	3	< 0.1%
475	1	< 0.1%
550	3	< 0.1%
600	9	< 0.1%
615	2	< 0.1%
620	18	< 0.1%
635	11	< 0.1%
640	1	< 0.1%

Value	Count	Frequency (%)
4103	9	< 0.1%
3950	1	< 0.1%
3850	1	< 0.1%
3370	1	< 0.1%
3335	4	< 0.1%
3305	1	< 0.1%
3300	1	< 0.1%
3270	2	< 0.1%
3245	2	< 0.1%
3242	11	< 0.1%

gross_weight
Real number (ℝ)

High correlation Missing

Distinct	988
Distinct (%)	0.7%
Missing	15621
Missing (%)	9.5%
Infinite	0
Infinite (%)	0.0%
Mean	1970.7765

Minimum	810
Maximum	5000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	810
5-th percentile	1395
Q1	1593
median	1850
Q3	2220
95-th percentile	2990
Maximum	5000
Range	4190
Interquartile range (IQR)	627

Descriptive statistics

Standard deviation	494.27992
Coefficient of variation (CV)	0.25080466
Kurtosis	0.31142828
Mean	1970.7765
Median Absolute Deviation (MAD)	290
Skewness	0.93687455
Sum	2.9215382 × 10⁸
Variance	244312.63
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1560	5205	3.2%
1410	4274	2.6%
1610	3514	2.1%
1515	2420	1.5%
1860	2412	1.5%
1555	2162	1.3%
1850	2087	1.3%
1650	1967	1.2%
1395	1826	1.1%
1578	1677	1.0%
Other values (978)	120699	73.7%
(Missing)	15621	9.5%

Value	Count	Frequency (%)
810	1	< 0.1%
895	4	< 0.1%
920	7	< 0.1%
940	1	< 0.1%
950	3	< 0.1%
960	6	< 0.1%
975	109	0.1%
980	25	< 0.1%
985	67	< 0.1%
990	111	0.1%

Value	Count	Frequency (%)
5000	3	< 0.1%
4581	3	< 0.1%
4500	1	< 0.1%
4400	2	< 0.1%
4250	1	< 0.1%
4173	2	< 0.1%
4080	1	< 0.1%
4037	1	< 0.1%
3992	28	< 0.1%
3946	1	< 0.1%

front_brakes
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

дисковые	162030
барабанные	1524
керамические	310

Length

Max length	12
Median length	8
Mean length	8.026168
Min length	8

Characters and Unicode

Total characters	1315200
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	дисковые
2nd row	дисковые
3rd row	дисковые
4th row	дисковые
5th row	дисковые

Common Values

Value	Count	Frequency (%)
дисковые	162030	98.9%
барабанные	1524	0.9%
керамические	310	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
дисковые	162030	98.9%
барабанные	1524	0.9%
керамические	310	0.2%

Most occurring characters

Value	Count	Frequency (%)
е	164484	12.5%
ы	163554	12.4%
и	162650	12.4%
к	162650	12.4%
с	162340	12.3%
д	162030	12.3%
в	162030	12.3%
о	162030	12.3%
а	4882	0.4%
б	3048	0.2%
Other values (4)	5502	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1315200	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
е	164484	12.5%
ы	163554	12.4%
и	162650	12.4%
к	162650	12.4%
с	162340	12.3%
д	162030	12.3%
в	162030	12.3%
о	162030	12.3%
а	4882	0.4%
б	3048	0.2%
Other values (4)	5502	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1315200	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
е	164484	12.5%
ы	163554	12.4%
и	162650	12.4%
к	162650	12.4%
с	162340	12.3%
д	162030	12.3%
в	162030	12.3%
о	162030	12.3%
а	4882	0.4%
б	3048	0.2%
Other values (4)	5502	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1315200	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
е	164484	12.5%
ы	163554	12.4%
и	162650	12.4%
к	162650	12.4%
с	162340	12.3%
д	162030	12.3%
в	162030	12.3%
о	162030	12.3%
а	4882	0.4%
б	3048	0.2%
Other values (4)	5502	0.4%

rear_brakes
Categorical

High correlation Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	1884
Missing (%)	1.1%
Memory size	1.3 MiB

дисковые	99266
барабанные	62521
керамические	193

Length

Max length	12
Median length	8
Mean length	8.7767255
Min length	8

Characters and Unicode

Total characters	1421654
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	дисковые
2nd row	дисковые
3rd row	дисковые
4th row	дисковые
5th row	дисковые

Common Values

Value	Count	Frequency (%)
дисковые	99266	60.6%
барабанные	62521	38.2%
керамические	193	0.1%
(Missing)	1884	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
дисковые	99266	61.3%
барабанные	62521	38.6%
керамические	193	0.1%

Most occurring characters

Value	Count	Frequency (%)
а	187756	13.2%
е	162366	11.4%
ы	161787	11.4%
б	125042	8.8%
н	125042	8.8%
и	99652	7.0%
к	99652	7.0%
с	99459	7.0%
д	99266	7.0%
о	99266	7.0%
Other values (4)	162366	11.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1421654	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
а	187756	13.2%
е	162366	11.4%
ы	161787	11.4%
б	125042	8.8%
н	125042	8.8%
и	99652	7.0%
к	99652	7.0%
с	99459	7.0%
д	99266	7.0%
о	99266	7.0%
Other values (4)	162366	11.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1421654	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
а	187756	13.2%
е	162366	11.4%
ы	161787	11.4%
б	125042	8.8%
н	125042	8.8%
и	99652	7.0%
к	99652	7.0%
с	99459	7.0%
д	99266	7.0%
о	99266	7.0%
Other values (4)	162366	11.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1421654	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
а	187756	13.2%
е	162366	11.4%
ы	161787	11.4%
б	125042	8.8%
н	125042	8.8%
и	99652	7.0%
к	99652	7.0%
с	99459	7.0%
д	99266	7.0%
о	99266	7.0%
Other values (4)	162366	11.4%

max_speed
Real number (ℝ)

High correlation Missing

Distinct	232
Distinct (%)	0.1%
Missing	6198
Missing (%)	3.8%
Infinite	0
Infinite (%)	0.0%
Mean	186.93755

Minimum	60
Maximum	355
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	60
5-th percentile	140
Q1	170
median	183
Q3	202
95-th percentile	250
Maximum	355
Range	295
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	31.195413
Coefficient of variation (CV)	0.16687612
Kurtosis	1.7297994
Mean	186.93755
Median Absolute Deviation (MAD)	17
Skewness	0.74301996
Sum	29473695
Variance	973.1538
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
180	9471	5.8%
175	7052	4.3%
185	6641	4.1%
160	6151	3.8%
170	5945	3.6%
210	5868	3.6%
200	5781	3.5%
190	5694	3.5%
165	5510	3.4%
250	5122	3.1%
Other values (222)	94431	57.6%
(Missing)	6198	3.8%

Value	Count	Frequency (%)
60	1	< 0.1%
70	5	< 0.1%
75	1	< 0.1%
85	72	< 0.1%
87	1	< 0.1%
88	33	< 0.1%
90	227	0.1%
95	3	< 0.1%
100	131	0.1%
101	15	< 0.1%

Value	Count	Frequency (%)
355	1	< 0.1%
350	20	< 0.1%
343	1	< 0.1%
342	1	< 0.1%
341	8	< 0.1%
340	39	< 0.1%
335	12	< 0.1%
334	5	< 0.1%
333	26	< 0.1%
332	1	< 0.1%

acceleration
Real number (ℝ)

High correlation Missing

Distinct	239
Distinct (%)	0.2%
Missing	58350
Missing (%)	35.6%
Infinite	0
Infinite (%)	0.0%
Mean	10.743199

Minimum	2.02
Maximum	39.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	2.02
5-th percentile	5.2
Q1	8.4
median	10.7
Q3	12.4
95-th percentile	17
Maximum	39.2
Range	37.18
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.8669574
Coefficient of variation (CV)	0.3599447
Kurtosis	6.9214902
Mean	10.743199
Median Absolute Deviation (MAD)	2
Skewness	1.6042258
Sum	1133557.9
Variance	14.95336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.5	3278	2.0%
11	2762	1.7%
10.5	2372	1.4%
11.5	2297	1.4%
11.7	2006	1.2%
9.8	1911	1.2%
11.2	1887	1.2%
9.9	1787	1.1%
17	1670	1.0%
10.7	1629	1.0%
Other values (229)	83915	51.2%
(Missing)	58350	35.6%

Value	Count	Frequency (%)
2.02	11	< 0.1%
2.1	10	< 0.1%
2.3	7	< 0.1%
2.5	20	< 0.1%
2.6	8	< 0.1%
2.7	30	< 0.1%
2.78	2	< 0.1%
2.8	107	0.1%
2.84	10	< 0.1%
2.85	1	< 0.1%

Value	Count	Frequency (%)
39.2	17	< 0.1%
37	18	< 0.1%
35	276	0.2%
34.7	21	< 0.1%
34.2	20	< 0.1%
34	22	< 0.1%
33	5	< 0.1%
32	54	< 0.1%
30	11	< 0.1%
29.5	1	< 0.1%

fuel_cons
Real number (ℝ)

High correlation Missing

Distinct	144
Distinct (%)	0.1%
Missing	65200
Missing (%)	39.8%
Infinite	0
Infinite (%)	0.0%
Mean	6.7536835

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	4.7
Q1	5.5
median	6.3
Q3	7.5
95-th percentile	10.6
Maximum	31
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8668784
Coefficient of variation (CV)	0.27642374
Kurtosis	4.7179148
Mean	6.7536835
Median Absolute Deviation (MAD)	0.9
Skewness	1.726092
Sum	666345.43
Variance	3.485235
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.3	4756	2.9%
5.8	4677	2.9%
5.7	3424	2.1%
5.4	3266	2.0%
5.5	3239	2.0%
6.2	3219	2.0%
6.4	3196	2.0%
5.6	2864	1.7%
5.3	2798	1.7%
5.2	2786	1.7%
Other values (134)	64439	39.3%
(Missing)	65200	39.8%

Value	Count	Frequency (%)
1	2	< 0.1%
1.4	8	< 0.1%
1.5	1	< 0.1%
1.6	2	< 0.1%
2.7	2	< 0.1%
2.9	10	< 0.1%
3	1	< 0.1%
3.1	9	< 0.1%
3.2	24	< 0.1%
3.3	32	< 0.1%

Value	Count	Frequency (%)
31	1	< 0.1%
25.2	3	< 0.1%
20	6	< 0.1%
18.3	1	< 0.1%
18.1	1	< 0.1%
17.2	12	< 0.1%
17	1	< 0.1%
16.8	93	0.1%
16.2	161	0.1%
16.1	2	< 0.1%

fuel_brand
Categorical

High correlation Missing

Distinct	7
Distinct (%)	< 0.1%
Missing	2420
Missing (%)	1.5%
Memory size	1.3 MiB

АИ-95	104777
АИ-92	32561
ДТ	17130
АИ-98	4978
АИ-80	1004
Other values (2)	994

Length

Max length	12
Median length	5
Mean length	4.6849806
Min length	2

Characters and Unicode

Total characters	756362
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	АИ-95
2nd row	АИ-95
3rd row	АИ-95
4th row	АИ-98
5th row	АИ-95

Common Values

Value	Count	Frequency (%)
АИ-95	104777	63.9%
АИ-92	32561	19.9%
ДТ	17130	10.5%
АИ-98	4978	3.0%
АИ-80	1004	0.6%
АИ-76	918	0.6%
Газ (Бензин)	76	< 0.1%
(Missing)	2420	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
аи-95	104777	64.9%
аи-92	32561	20.2%
дт	17130	10.6%
аи-98	4978	3.1%
аи-80	1004	0.6%
аи-76	918	0.6%
газ	76	< 0.1%
бензин	76	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
А	144238	19.1%
И	144238	19.1%
-	144238	19.1%
9	142316	18.8%
5	104777	13.9%
2	32561	4.3%
Д	17130	2.3%
Т	17130	2.3%
8	5982	0.8%
0	1004	0.1%
Other values (12)	2748	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	756362	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
А	144238	19.1%
И	144238	19.1%
-	144238	19.1%
9	142316	18.8%
5	104777	13.9%
2	32561	4.3%
Д	17130	2.3%
Т	17130	2.3%
8	5982	0.8%
0	1004	0.1%
Other values (12)	2748	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	756362	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
А	144238	19.1%
И	144238	19.1%
-	144238	19.1%
9	142316	18.8%
5	104777	13.9%
2	32561	4.3%
Д	17130	2.3%
Т	17130	2.3%
8	5982	0.8%
0	1004	0.1%
Other values (12)	2748	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	756362	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
А	144238	19.1%
И	144238	19.1%
-	144238	19.1%
9	142316	18.8%
5	104777	13.9%
2	32561	4.3%
Д	17130	2.3%
Т	17130	2.3%
8	5982	0.8%
0	1004	0.1%
Other values (12)	2748	0.4%

engine_loc1
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	1939
Missing (%)	1.2%
Memory size	1.3 MiB

переднее	160925
заднее	617
центральное	383

Length

Max length	11
Median length	8
Mean length	7.9994751
Min length	6

Characters and Unicode

Total characters	1295315
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	переднее
2nd row	переднее
3rd row	переднее
4th row	переднее
5th row	переднее

Common Values

Value	Count	Frequency (%)
переднее	160925	98.2%
заднее	617	0.4%
центральное	383	0.2%
(Missing)	1939	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
переднее	160925	99.4%
заднее	617	0.4%
центральное	383	0.2%

Most occurring characters

Value	Count	Frequency (%)
е	645700	49.8%
н	162308	12.5%
д	161542	12.5%
р	161308	12.5%
п	160925	12.4%
а	1000	0.1%
з	617	< 0.1%
ц	383	< 0.1%
т	383	< 0.1%
л	383	< 0.1%
Other values (2)	766	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1295315	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
е	645700	49.8%
н	162308	12.5%
д	161542	12.5%
р	161308	12.5%
п	160925	12.4%
а	1000	0.1%
з	617	< 0.1%
ц	383	< 0.1%
т	383	< 0.1%
л	383	< 0.1%
Other values (2)	766	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1295315	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
е	645700	49.8%
н	162308	12.5%
д	161542	12.5%
р	161308	12.5%
п	160925	12.4%
а	1000	0.1%
з	617	< 0.1%
ц	383	< 0.1%
т	383	< 0.1%
л	383	< 0.1%
Other values (2)	766	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1295315	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
е	645700	49.8%
н	162308	12.5%
д	161542	12.5%
р	161308	12.5%
п	160925	12.4%
а	1000	0.1%
з	617	< 0.1%
ц	383	< 0.1%
т	383	< 0.1%
л	383	< 0.1%
Other values (2)	766	0.1%

engine_loc2
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	2939
Missing (%)	1.8%
Memory size	1.3 MiB

поперечное	111604
продольное	49321

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1609250
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	поперечное
2nd row	поперечное
3rd row	поперечное
4th row	поперечное
5th row	поперечное

Common Values

Value	Count	Frequency (%)
поперечное	111604	68.1%
продольное	49321	30.1%
(Missing)	2939	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
поперечное	111604	69.4%
продольное	49321	30.6%

Most occurring characters

Value	Count	Frequency (%)
е	384133	23.9%
о	371171	23.1%
п	272529	16.9%
р	160925	10.0%
н	160925	10.0%
ч	111604	6.9%
д	49321	3.1%
л	49321	3.1%
ь	49321	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1609250	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
е	384133	23.9%
о	371171	23.1%
п	272529	16.9%
р	160925	10.0%
н	160925	10.0%
ч	111604	6.9%
д	49321	3.1%
л	49321	3.1%
ь	49321	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1609250	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
е	384133	23.9%
о	371171	23.1%
п	272529	16.9%
р	160925	10.0%
н	160925	10.0%
ч	111604	6.9%
д	49321	3.1%
л	49321	3.1%
ь	49321	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1609250	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
е	384133	23.9%
о	371171	23.1%
п	272529	16.9%
р	160925	10.0%
н	160925	10.0%
ч	111604	6.9%
д	49321	3.1%
л	49321	3.1%
ь	49321	3.1%

turbocharg
Categorical

High correlation Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	1891
Missing (%)	1.2%
Memory size	1.3 MiB

нет	109425
турбонаддув	51652
компрессор	896

Length

Max length	11
Median length	3
Mean length	5.5898637
Min length	3

Characters and Unicode

Total characters	905407
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	турбонаддув
2nd row	турбонаддув
3rd row	турбонаддув
4th row	турбонаддув
5th row	турбонаддув

Common Values

Value	Count	Frequency (%)
нет	109425	66.8%
турбонаддув	51652	31.5%
компрессор	896	0.5%
(Missing)	1891	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
нет	109425	67.6%
турбонаддув	51652	31.9%
компрессор	896	0.6%

Most occurring characters

Value	Count	Frequency (%)
н	161077	17.8%
т	161077	17.8%
е	110321	12.2%
у	103304	11.4%
д	103304	11.4%
р	53444	5.9%
о	53444	5.9%
б	51652	5.7%
а	51652	5.7%
в	51652	5.7%
Other values (4)	4480	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	905407	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
н	161077	17.8%
т	161077	17.8%
е	110321	12.2%
у	103304	11.4%
д	103304	11.4%
р	53444	5.9%
о	53444	5.9%
б	51652	5.7%
а	51652	5.7%
в	51652	5.7%
Other values (4)	4480	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	905407	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
н	161077	17.8%
т	161077	17.8%
е	110321	12.2%
у	103304	11.4%
д	103304	11.4%
р	53444	5.9%
о	53444	5.9%
б	51652	5.7%
а	51652	5.7%
в	51652	5.7%
Other values (4)	4480	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	905407	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
н	161077	17.8%
т	161077	17.8%
е	110321	12.2%
у	103304	11.4%
д	103304	11.4%
р	53444	5.9%
о	53444	5.9%
б	51652	5.7%
а	51652	5.7%
в	51652	5.7%
Other values (4)	4480	0.5%

max_torq
Real number (ℝ)

High correlation Missing Skewed

Distinct	579
Distinct (%)	0.5%
Missing	50819
Missing (%)	31.0%
Infinite	0
Infinite (%)	0.0%
Mean	277.87604

Minimum	19
Maximum	15591
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	19
5-th percentile	118
Q1	155
median	220
Q3	350
95-th percentile	624
Maximum	15591
Range	15572
Interquartile range (IQR)	195

Descriptive statistics

Standard deviation	252.57462
Coefficient of variation (CV)	0.90894711
Kurtosis	1723.3358
Mean	277.87604
Median Absolute Deviation (MAD)	75
Skewness	31.575202
Sum	31412497
Variance	63793.94
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250	3519	2.1%
350	3429	2.1%
210	3008	1.8%
155	2870	1.8%
160	2830	1.7%
150	2540	1.6%
400	2450	1.5%
200	2383	1.5%
300	1950	1.2%
145	1943	1.2%
Other values (569)	86123	52.6%
(Missing)	50819	31.0%

Value	Count	Frequency (%)
19	2	< 0.1%
29	1	< 0.1%
42	1	< 0.1%
45	1	< 0.1%
52	33	< 0.1%
53	4	< 0.1%
55	4	< 0.1%
56	14	< 0.1%
57	41	< 0.1%
58	50	< 0.1%

Value	Count	Frequency (%)
15591	9	< 0.1%
13960	4	< 0.1%
11500	10	< 0.1%
1600	7	< 0.1%
1430	6	< 0.1%
1318	1	< 0.1%
1280	29	< 0.1%
1231	11	< 0.1%
1200	4	< 0.1%
1150	2	< 0.1%

cyl_count
Real number (ℝ)

High correlation Missing

Distinct	10
Distinct (%)	< 0.1%
Missing	1818
Missing (%)	1.1%
Infinite	0
Infinite (%)	0.0%
Mean	4.359867

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	4
median	4
Q3	4
95-th percentile	6
Maximum	16
Range	15
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.0826825
Coefficient of variation (CV)	0.24832924
Kurtosis	11.712784
Mean	4.359867
Median Absolute Deviation (MAD)	0
Skewness	2.9932341
Sum	706499
Variance	1.1722013
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	131943	80.5%
6	15725	9.6%
8	6365	3.9%
3	4894	3.0%
5	2171	1.3%
12	530	0.3%
2	326	0.2%
10	79	< 0.1%
16	7	< 0.1%
1	6	< 0.1%
(Missing)	1818	1.1%

Value	Count	Frequency (%)
1	6	< 0.1%
2	326	0.2%
3	4894	3.0%
4	131943	80.5%
5	2171	1.3%
6	15725	9.6%
8	6365	3.9%
10	79	< 0.1%
12	530	0.3%
16	7	< 0.1%

Value	Count	Frequency (%)
16	7	< 0.1%
12	530	0.3%
10	79	< 0.1%
8	6365	3.9%
6	15725	9.6%
5	2171	1.3%
4	131943	80.5%
3	4894	3.0%
2	326	0.2%
1	6	< 0.1%

seat_count_max
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.0647854

Minimum	2
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5
median	5
Q3	5
95-th percentile	7
Maximum	9
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.64907982
Coefficient of variation (CV)	0.12815544
Kurtosis	10.753564
Mean	5.0647854
Median Absolute Deviation (MAD)	0
Skewness	1.1664901
Sum	829936
Variance	0.42130461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	143574	87.6%
7	8549	5.2%
4	7418	4.5%
6	1553	0.9%
2	1473	0.9%
8	936	0.6%
9	286	0.2%
3	75	< 0.1%

Value	Count	Frequency (%)
2	1473	0.9%
3	75	< 0.1%
4	7418	4.5%
5	143574	87.6%
6	1553	0.9%
7	8549	5.2%
8	936	0.6%
9	286	0.2%

Value	Count	Frequency (%)
9	286	0.2%
8	936	0.6%
7	8549	5.2%
6	1553	0.9%
5	143574	87.6%
4	7418	4.5%
3	75	< 0.1%
2	1473	0.9%

seat_count_min
Real number (ℝ)

High correlation Missing

Distinct	6
Distinct (%)	0.1%
Missing	158775
Missing (%)	96.9%
Infinite	0
Infinite (%)	0.0%
Mean	4.9693456

Minimum	2
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5
median	5
Q3	5
95-th percentile	6
Maximum	8
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.66102436
Coefficient of variation (CV)	0.1330204
Kurtosis	3.3200818
Mean	4.9693456
Median Absolute Deviation (MAD)	0
Skewness	0.70291619
Sum	25289
Variance	0.43695321
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
5	3609	2.2%
4	894	0.5%
6	370	0.2%
7	196	0.1%
2	14	< 0.1%
8	6	< 0.1%
(Missing)	158775	96.9%

Value	Count	Frequency (%)
2	14	< 0.1%
4	894	0.5%
5	3609	2.2%
6	370	0.2%
7	196	0.1%
8	6	< 0.1%

Value	Count	Frequency (%)
8	6	< 0.1%
7	196	0.1%
6	370	0.2%
5	3609	2.2%
4	894	0.5%
2	14	< 0.1%

clearence_max
Real number (ℝ)

High correlation Missing

Distinct	204
Distinct (%)	0.1%
Missing	3177
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	175.16148

Minimum	76
Maximum	460
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	76
5-th percentile	130
Q1	155
median	170
Q3	200
95-th percentile	220
Maximum	460
Range	384
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	29.774968
Coefficient of variation (CV)	0.16998583
Kurtosis	0.84180774
Mean	175.16148
Median Absolute Deviation (MAD)	20
Skewness	0.48045421
Sum	28146172
Variance	886.54872
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
160	18266	11.1%
170	10758	6.6%
200	10656	6.5%
150	9909	6.0%
190	8146	5.0%
165	7501	4.6%
180	6501	4.0%
220	6414	3.9%
210	6322	3.9%
145	5696	3.5%
Other values (194)	70518	43.0%

Value	Count	Frequency (%)
76	4	< 0.1%
80	16	< 0.1%
86	1	< 0.1%
88	2	< 0.1%
89	2	< 0.1%
90	10	< 0.1%
91	3	< 0.1%
93	19	< 0.1%
94	2	< 0.1%
95	2	< 0.1%

Value	Count	Frequency (%)
460	1	< 0.1%
450	1	< 0.1%
433	4	< 0.1%
420	3	< 0.1%
400	2	< 0.1%
380	4	< 0.1%
361	1	< 0.1%
333	4	< 0.1%
326	4	< 0.1%
315	1	< 0.1%

v_bag_max
Real number (ℝ)

High correlation Missing

Distinct	1060
Distinct (%)	1.0%
Missing	58564
Missing (%)	35.7%
Infinite	0
Infinite (%)	0.0%
Mean	613.94186

Minimum	50
Maximum	6700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	50
5-th percentile	242.9
Q1	400
median	490
Q3	610
95-th percentile	1580
Maximum	6700
Range	6650
Interquartile range (IQR)	210

Descriptive statistics

Standard deviation	453.39017
Coefficient of variation (CV)	0.7384904
Kurtosis	27.435767
Mean	613.94186
Median Absolute Deviation (MAD)	92
Skewness	3.8270543
Sum	64648078
Variance	205562.64
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
530	3572	2.2%
500	3502	2.1%
430	2111	1.3%
480	2068	1.3%
320	2014	1.2%
450	1876	1.1%
510	1547	0.9%
400	1408	0.9%
540	1303	0.8%
155	1284	0.8%
Other values (1050)	84615	51.6%
(Missing)	58564	35.7%

Value	Count	Frequency (%)
50	8	< 0.1%
53	13	< 0.1%
57	1	< 0.1%
60	2	< 0.1%
63	2	< 0.1%
65	51	< 0.1%
74	9	< 0.1%
76	1	< 0.1%
80	6	< 0.1%
81	68	< 0.1%

Value	Count	Frequency (%)
6700	21	< 0.1%
5800	57	< 0.1%
5400	1	< 0.1%
5300	49	< 0.1%
5020	2	< 0.1%
5010	11	< 0.1%
5000	1	< 0.1%
4630	11	< 0.1%
4554	16	< 0.1%
4200	16	< 0.1%

v_bag_min
Real number (ℝ)

High correlation Missing

Distinct	741
Distinct (%)	0.7%
Missing	58564
Missing (%)	35.7%
Infinite	0
Infinite (%)	0.0%
Mean	508.95966

Minimum	50
Maximum	6700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	50
5-th percentile	220
Q1	387
median	477
Q3	543
95-th percentile	909
Maximum	6700
Range	6650
Interquartile range (IQR)	156

Descriptive statistics

Standard deviation	310.66755
Coefficient of variation (CV)	0.61039721
Kurtosis	116.03386
Mean	508.95966
Median Absolute Deviation (MAD)	79
Skewness	8.1277469
Sum	53593452
Variance	96514.329
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
530	4022	2.5%
500	3832	2.3%
430	2345	1.4%
320	2134	1.3%
480	2098	1.3%
450	2015	1.2%
510	1555	0.9%
400	1554	0.9%
540	1445	0.9%
408	1374	0.8%
Other values (731)	82926	50.6%
(Missing)	58564	35.7%

Value	Count	Frequency (%)
50	8	< 0.1%
53	13	< 0.1%
57	1	< 0.1%
60	2	< 0.1%
63	3	< 0.1%
65	52	< 0.1%
74	9	< 0.1%
76	1	< 0.1%
80	6	< 0.1%
81	76	< 0.1%

Value	Count	Frequency (%)
6700	21	< 0.1%
5800	57	< 0.1%
5400	1	< 0.1%
5300	49	< 0.1%
5020	2	< 0.1%
5000	1	< 0.1%
4200	4	< 0.1%
3424	4	< 0.1%
3347	2	< 0.1%
3300	52	< 0.1%

Interactions

Correlations

	acceleration	avail	car_price	class_auto	clearence_max	color	count_owner	curb_weight	customs	cyl_count	door_count	drive	eng_power	eng_size	eng_type	engine_loc1	engine_loc2	front_brakes	fuel_brand	fuel_cons	gross_weight	height	long	max_speed	max_torq	mileage	original_pts	pow_resrv	rear_brakes	seat_count_max	seat_count_min	st_wheel	state_mark	transmission	turbocharg	v_bag_max	v_bag_min	v_tank	width	year
acceleration	1.000	0.168	-0.700	0.300	-0.067	0.100	0.166	-0.555	0.000	-0.503	-0.044	0.367	-0.854	-0.451	0.160	0.202	0.465	0.412	0.413	-0.160	-0.527	-0.043	-0.550	-0.853	-0.780	0.267	0.078	-0.486	0.409	0.042	0.329	0.065	0.275	0.344	0.384	-0.180	-0.226	-0.392	-0.594	-0.419
avail	0.168	1.000	0.055	0.105	0.034	0.060	0.204	0.111	0.025	0.065	0.053	0.036	0.171	0.077	0.098	0.059	0.035	0.070	0.078	0.051	0.088	0.075	0.112	0.137	0.021	0.199	0.102	0.483	0.115	0.070	0.134	0.072	0.209	0.149	0.173	0.029	0.012	0.046	0.142	0.164
car_price	-0.700	0.055	1.000	0.066	0.286	0.011	0.029	0.772	0.000	0.375	0.246	0.025	0.818	0.516	0.015	0.110	0.038	0.113	0.032	0.185	0.757	0.497	0.670	0.646	0.763	-0.497	0.013	0.471	0.143	0.083	0.045	0.000	0.075	0.021	0.021	0.258	0.293	0.416	0.800	0.742
class_auto	0.300	0.105	0.066	1.000	0.280	0.106	0.086	0.375	0.012	0.309	0.355	0.541	0.285	0.437	0.134	0.354	0.751	0.178	0.230	0.252	0.447	0.323	0.481	0.392	0.041	0.073	0.050	0.767	0.487	0.286	0.349	0.229	0.294	0.335	0.312	0.144	0.162	0.378	0.371	0.085
clearence_max	-0.067	0.034	0.286	0.280	1.000	0.065	0.097	0.408	0.000	0.184	0.358	0.495	0.195	0.350	0.105	0.187	0.478	0.099	0.158	0.414	0.379	0.696	0.118	-0.118	0.347	-0.189	0.092	-0.154	0.204	0.245	0.201	0.098	0.213	0.184	0.211	0.304	0.296	0.406	0.327	0.220
color	0.100	0.060	0.011	0.106	0.065	1.000	0.126	0.105	0.000	0.079	0.080	0.138	0.085	0.086	0.053	0.059	0.152	0.093	0.101	0.073	0.109	0.102	0.106	0.116	0.011	0.060	0.098	0.242	0.187	0.055	0.121	0.056	0.087	0.157	0.144	0.037	0.042	0.087	0.123	0.126
count_owner	0.166	0.204	0.029	0.086	0.097	0.126	1.000	0.176	0.002	0.053	0.108	0.092	0.158	0.074	0.137	0.026	0.007	0.042	0.078	0.046	0.151	0.209	0.137	0.125	0.014	0.377	0.410	0.307	0.122	0.082	0.136	0.067	0.215	0.189	0.192	0.046	0.037	0.068	0.229	0.412
curb_weight	-0.555	0.111	0.772	0.375	0.408	0.105	0.176	1.000	0.018	0.538	0.291	0.479	0.868	0.772	0.196	0.135	0.490	0.073	0.205	0.574	0.978	0.656	0.808	0.563	0.888	-0.197	0.129	0.506	0.503	0.209	0.133	0.112	0.257	0.394	0.410	0.403	0.477	0.823	0.923	0.397
customs	0.000	0.025	0.000	0.012	0.000	0.000	0.002	0.018	1.000	0.000	0.000	0.004	0.013	0.000	0.037	0.000	0.000	0.000	0.000	0.000	0.009	0.000	0.023	0.011	0.000	0.005	1.000	0.577	0.000	0.017	0.000	0.000	0.022	0.004	0.005	0.000	0.000	0.000	0.009	0.002
cyl_count	-0.503	0.065	0.375	0.309	0.184	0.079	0.053	0.538	0.000	1.000	0.022	0.305	0.571	0.664	0.101	0.263	0.484	0.238	0.206	0.499	0.548	0.214	0.535	0.466	0.588	0.058	0.047	NaN	0.346	0.103	-0.008	0.059	0.324	0.254	0.201	0.250	0.311	0.636	0.512	0.008
door_count	-0.044	0.053	0.246	0.355	0.358	0.080	0.108	0.291	0.000	0.022	1.000	0.334	0.210	0.096	0.069	0.293	0.196	0.149	0.145	0.077	0.303	0.471	0.046	0.071	0.175	-0.063	0.091	-0.049	0.203	0.253	0.314	0.072	0.178	0.164	0.159	0.164	0.099	0.101	0.275	0.210
drive	0.367	0.036	0.025	0.541	0.495	0.138	0.092	0.479	0.004	0.305	0.334	1.000	0.385	0.462	0.223	0.151	0.745	0.204	0.319	0.372	0.481	0.468	0.318	0.366	0.012	0.126	0.081	0.801	0.180	0.193	0.157	0.039	0.318	0.265	0.240	0.178	0.199	0.399	0.359	0.301
eng_power	-0.854	0.171	0.818	0.285	0.195	0.085	0.158	0.868	0.013	0.571	0.210	0.385	1.000	0.699	0.201	0.206	0.422	0.298	0.253	0.445	0.854	0.412	0.816	0.821	0.932	-0.196	0.079	0.559	0.477	0.110	-0.025	0.056	0.235	0.362	0.420	0.282	0.342	0.667	0.865	0.450
eng_size	-0.451	0.077	0.516	0.437	0.350	0.086	0.074	0.772	0.000	0.664	0.096	0.462	0.699	1.000	0.155	0.157	0.573	0.151	0.246	0.660	0.779	0.424	0.659	0.462	0.694	0.005	0.056	NaN	0.366	0.157	0.045	0.237	0.248	0.324	0.287	0.322	0.402	0.805	0.675	0.102
eng_type	0.160	0.098	0.015	0.134	0.105	0.053	0.137	0.196	0.037	0.101	0.069	0.223	0.201	0.155	1.000	0.086	0.243	0.031	0.572	0.087	0.189	0.138	0.134	0.092	0.058	0.069	0.083	1.000	0.189	0.071	0.110	0.079	0.197	0.194	0.361	0.076	0.095	0.129	0.152	0.068
engine_loc1	0.202	0.059	0.110	0.354	0.187	0.059	0.026	0.135	0.000	0.263	0.293	0.151	0.206	0.157	0.086	1.000	1.000	0.203	0.177	0.119	0.170	0.368	0.374	0.329	0.108	0.048	0.014	1.000	0.222	0.351	0.040	0.044	0.205	0.111	0.018	0.024	0.017	0.212	0.138	0.060
engine_loc2	0.465	0.035	0.038	0.751	0.478	0.152	0.007	0.490	0.000	0.484	0.196	0.745	0.422	0.573	0.243	1.000	1.000	0.148	0.377	0.536	0.493	0.399	0.399	0.609	1.000	0.116	0.002	0.000	0.081	0.166	0.146	0.014	0.439	0.242	0.217	0.172	0.245	0.614	0.342	0.229
front_brakes	0.412	0.070	0.113	0.178	0.099	0.093	0.042	0.073	0.000	0.238	0.149	0.204	0.298	0.151	0.031	0.203	0.148	1.000	0.527	0.132	0.072	0.195	0.080	0.488	0.000	0.080	0.018	1.000	0.557	0.142	0.169	0.016	0.401	0.084	0.052	0.033	0.020	0.100	0.122	0.543
fuel_brand	0.413	0.078	0.032	0.230	0.158	0.101	0.078	0.205	0.000	0.206	0.145	0.319	0.253	0.246	0.572	0.177	0.377	0.527	1.000	0.195	0.245	0.214	0.170	0.394	0.037	0.091	0.054	0.000	0.271	0.128	0.158	0.042	0.296	0.228	0.379	0.091	0.109	0.196	0.204	0.312
fuel_cons	-0.160	0.051	0.185	0.252	0.414	0.073	0.046	0.574	0.000	0.499	0.077	0.372	0.445	0.660	0.087	0.119	0.536	0.132	0.195	1.000	0.524	0.457	0.434	0.029	0.404	-0.002	0.045	NaN	0.084	0.123	0.100	0.083	0.167	0.148	0.186	0.194	0.244	0.580	0.410	-0.127
gross_weight	-0.527	0.088	0.757	0.447	0.379	0.109	0.151	0.978	0.009	0.548	0.303	0.481	0.854	0.779	0.189	0.170	0.493	0.072	0.245	0.524	1.000	0.661	0.808	0.575	0.870	-0.118	0.108	0.341	0.524	0.229	0.207	0.062	0.293	0.403	0.416	0.472	0.545	0.839	0.918	0.358
height	-0.043	0.075	0.497	0.323	0.696	0.102	0.209	0.656	0.000	0.214	0.471	0.468	0.412	0.424	0.138	0.368	0.399	0.195	0.214	0.457	0.661	1.000	0.326	0.033	0.396	-0.212	0.190	-0.016	0.346	0.320	0.371	0.098	0.253	0.253	0.251	0.342	0.348	0.466	0.577	0.360
long	-0.550	0.112	0.670	0.481	0.118	0.106	0.137	0.808	0.023	0.535	0.046	0.318	0.816	0.659	0.134	0.374	0.399	0.080	0.170	0.434	0.808	0.326	1.000	0.667	0.759	-0.105	0.084	0.531	0.455	0.212	0.073	0.229	0.232	0.349	0.347	0.440	0.546	0.724	0.825	0.335
max_speed	-0.853	0.137	0.646	0.392	-0.118	0.116	0.125	0.563	0.011	0.466	0.071	0.366	0.821	0.462	0.092	0.329	0.609	0.488	0.394	0.029	0.575	0.033	0.667	1.000	0.669	-0.086	0.056	0.314	0.568	-0.022	-0.208	0.031	0.303	0.365	0.398	0.150	0.207	0.388	0.630	0.351
max_torq	-0.780	0.021	0.763	0.041	0.347	0.011	0.014	0.888	0.000	0.588	0.175	0.012	0.932	0.694	0.058	0.108	1.000	0.000	0.037	0.404	0.870	0.396	0.759	0.669	1.000	-0.235	0.004	0.437	0.003	0.119	-0.221	0.000	0.046	0.014	0.009	0.346	0.417	0.708	0.849	0.370
mileage	0.267	0.199	-0.497	0.073	-0.189	0.060	0.377	-0.197	0.005	0.058	-0.063	0.126	-0.196	0.005	0.069	0.048	0.116	0.080	0.091	-0.002	-0.118	-0.212	-0.105	-0.086	-0.235	1.000	0.281	-0.562	0.060	0.009	-0.035	0.031	0.116	0.134	0.176	-0.001	-0.010	0.083	-0.241	-0.654
original_pts	0.078	0.102	0.013	0.050	0.092	0.098	0.410	0.129	1.000	0.047	0.091	0.081	0.079	0.056	0.083	0.014	0.002	0.018	0.054	0.045	0.108	0.190	0.084	0.056	0.004	0.281	1.000	0.126	0.068	0.055	0.114	0.023	0.135	0.122	0.129	0.036	0.033	0.064	0.169	0.324
pow_resrv	-0.486	0.483	0.471	0.767	-0.154	0.242	0.307	0.506	0.577	NaN	-0.049	0.801	0.559	NaN	1.000	1.000	0.000	1.000	0.000	NaN	0.341	-0.016	0.531	0.314	0.437	-0.562	0.126	1.000	0.727	0.163	0.744	0.826	0.641	0.466	1.000	0.056	0.067	NaN	0.496	0.649
rear_brakes	0.409	0.115	0.143	0.487	0.204	0.187	0.122	0.503	0.000	0.346	0.203	0.180	0.477	0.366	0.189	0.222	0.081	0.557	0.271	0.084	0.524	0.346	0.455	0.568	0.003	0.060	0.068	0.727	1.000	0.164	0.154	0.050	0.595	0.450	0.358	0.051	0.025	0.274	0.486	0.217
seat_count_max	0.042	0.070	0.083	0.286	0.245	0.055	0.082	0.209	0.017	0.103	0.253	0.193	0.110	0.157	0.071	0.351	0.166	0.142	0.128	0.123	0.229	0.320	0.212	-0.022	0.119	0.009	0.055	0.163	0.164	1.000	0.726	0.159	0.136	0.132	0.128	0.228	0.194	0.201	0.188	0.058
seat_count_min	0.329	0.134	0.045	0.349	0.201	0.121	0.136	0.133	0.000	-0.008	0.314	0.157	-0.025	0.045	0.110	0.040	0.146	0.169	0.158	0.100	0.207	0.371	0.073	-0.208	-0.221	-0.035	0.114	0.744	0.154	0.726	1.000	0.316	0.293	0.166	0.186	0.432	0.114	-0.050	0.056	0.073
st_wheel	0.065	0.072	0.000	0.229	0.098	0.056	0.067	0.112	0.000	0.059	0.072	0.039	0.056	0.237	0.079	0.044	0.014	0.016	0.042	0.083	0.062	0.098	0.229	0.031	0.000	0.031	0.023	0.826	0.050	0.159	0.316	1.000	0.427	0.246	0.019	0.071	0.041	0.305	0.220	0.116
state_mark	0.275	0.209	0.075	0.294	0.213	0.087	0.215	0.257	0.022	0.324	0.178	0.318	0.235	0.248	0.197	0.205	0.439	0.401	0.296	0.167	0.293	0.253	0.232	0.303	0.046	0.116	0.135	0.641	0.595	0.136	0.293	0.427	1.000	0.467	0.448	0.259	0.131	0.202	0.307	0.164
transmission	0.344	0.149	0.021	0.335	0.184	0.157	0.189	0.394	0.004	0.254	0.164	0.265	0.362	0.324	0.194	0.111	0.242	0.084	0.228	0.148	0.403	0.253	0.349	0.365	0.014	0.134	0.122	0.466	0.450	0.132	0.166	0.246	0.467	1.000	0.394	0.089	0.103	0.237	0.387	0.231
turbocharg	0.384	0.173	0.021	0.312	0.211	0.144	0.192	0.410	0.005	0.201	0.159	0.240	0.420	0.287	0.361	0.018	0.217	0.052	0.379	0.186	0.416	0.251	0.347	0.398	0.009	0.176	0.129	1.000	0.358	0.128	0.186	0.019	0.448	0.394	1.000	0.105	0.135	0.291	0.455	0.268
v_bag_max	-0.180	0.029	0.258	0.144	0.304	0.037	0.046	0.403	0.000	0.250	0.164	0.178	0.282	0.322	0.076	0.024	0.172	0.033	0.091	0.194	0.472	0.342	0.440	0.150	0.346	-0.001	0.036	0.056	0.051	0.228	0.432	0.071	0.259	0.089	0.105	1.000	0.827	0.384	0.377	0.127
v_bag_min	-0.226	0.012	0.293	0.162	0.296	0.042	0.037	0.477	0.000	0.311	0.099	0.199	0.342	0.402	0.095	0.017	0.245	0.020	0.109	0.244	0.545	0.348	0.546	0.207	0.417	-0.010	0.033	0.067	0.025	0.194	0.114	0.041	0.131	0.103	0.135	0.827	1.000	0.470	0.457	0.146
v_tank	-0.392	0.046	0.416	0.378	0.406	0.087	0.068	0.823	0.000	0.636	0.101	0.399	0.667	0.805	0.129	0.212	0.614	0.100	0.196	0.580	0.839	0.466	0.724	0.388	0.708	0.083	0.064	NaN	0.274	0.201	-0.050	0.305	0.202	0.237	0.291	0.384	0.470	1.000	0.710	-0.031
width	-0.594	0.142	0.800	0.371	0.327	0.123	0.229	0.923	0.009	0.512	0.275	0.359	0.865	0.675	0.152	0.138	0.342	0.122	0.204	0.410	0.918	0.577	0.825	0.630	0.849	-0.241	0.169	0.496	0.486	0.188	0.056	0.220	0.307	0.387	0.455	0.377	0.457	0.710	1.000	0.475
year	-0.419	0.164	0.742	0.085	0.220	0.126	0.412	0.397	0.002	0.008	0.210	0.301	0.450	0.102	0.068	0.060	0.229	0.543	0.312	-0.127	0.358	0.360	0.335	0.351	0.370	-0.654	0.324	0.649	0.217	0.058	0.073	0.116	0.164	0.231	0.268	0.127	0.146	-0.031	0.475	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	car_make	car_model	car_gen	car_type	car_compl	ann_date	car_price	ann_city	avail	year	mileage	color	eng_size	eng_power	eng_type	pow_resrv	options	transmission	drive	st_wheel	condition	count_owner	original_pts	customs	state_mark	class_auto	door_count	long	width	height	v_tank	curb_weight	gross_weight	front_brakes	rear_brakes	max_speed	acceleration	fuel_cons	fuel_brand	engine_loc1	engine_loc2	turbocharg	max_torq	cyl_count	seat_count_max	seat_count_min	clearence_max	v_bag_max	v_bag_min
0	Abarth	500	I Рестайлинг	Кабриолет	1.4 MT (180 л.с.)	2024-10-30	2700000.0	Обнинск	В наличии	2020	44000	серебристый	1.4	180.0	Бензин	NaN	1 опция	механическая	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Италия	A	2.0	3571.0	1627.0	1488.0	35.0	1045.0	NaN	дисковые	дисковые	225.0	6.7	4.9	АИ-95	переднее	поперечное	турбонаддув	250.0	4.0	4.0	NaN	104.0	185.0	185.0
1	Abarth	500	I	Кабриолет	1.4 MT (135 л.с.)	2024-03-17	1400000.0	Минск	В наличии	2013	55000	чёрный	1.4	135.0	Бензин	NaN	26 опций	механическая	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Италия	A	3.0	3546.0	1627.0	1488.0	35.0	NaN	NaN	дисковые	дисковые	NaN	6.9	7.1	АИ-95	переднее	поперечное	турбонаддув	206.0	4.0	5.0	NaN	140.0	185.0	185.0
2	Abarth	500	I Рестайлинг	Кабриолет	1.4 AMT (180 л.с.)	2024-09-19	2990000.0	Санкт-Петербург	В наличии	2019	42500	белый	1.4	180.0	Бензин	NaN	1 опция	роботизированная	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Италия	A	2.0	3571.0	1627.0	1488.0	35.0	1045.0	NaN	дисковые	дисковые	225.0	6.9	4.7	АИ-95	переднее	поперечное	турбонаддув	250.0	4.0	4.0	NaN	104.0	185.0	185.0
3	Abarth	500	I	Хэтчбек 3 дв.	1.4 MT (135 л.с.)	2024-08-15	2100000.0	Москва	В наличии	2009	47800	серый	1.4	135.0	Бензин	NaN	19 опций	механическая	передний	Левый	Не требует ремонта	3	Оригинал	Растаможен	Италия	A	3.0	3546.0	1627.0	1488.0	70.0	1035.0	1380.0	дисковые	дисковые	205.0	7.9	5.4	АИ-98	переднее	поперечное	турбонаддув	206.0	4.0	4.0	NaN	125.0	185.0	185.0
4	Abarth	500	I Рестайлинг	Хэтчбек 3 дв.	1.4 AT (159 л.с.)	2024-10-14	1650000.0	Москва	В наличии	2016	92000	чёрный	1.4	159.0	Бензин	NaN	16 опций	автоматическая	передний	Левый	Не требует ремонта	3	Оригинал	Растаможен	Италия	A	3.0	3571.0	1627.0	1488.0	40.0	1141.0	NaN	дисковые	дисковые	211.0	7.8	7.3	АИ-95	переднее	поперечное	турбонаддув	248.0	4.0	4.0	NaN	104.0	268.0	268.0
5	Abarth	500	I	Хэтчбек 3 дв.	1.4 MT (135 л.с.)	2024-09-10	1270000.0	Зеленоград	В наличии	2013	153000	синий	1.4	135.0	Бензин	NaN	21 опция	механическая	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Италия	A	3.0	3546.0	1627.0	1488.0	70.0	1035.0	1380.0	дисковые	дисковые	205.0	7.9	5.4	АИ-98	переднее	поперечное	турбонаддув	206.0	4.0	4.0	NaN	125.0	185.0	185.0
6	Abarth	500	I Рестайлинг	Хэтчбек 3 дв.	1.4 MT (180 л.с.)	2024-11-02	1500000.0	Москва	В наличии	2016	151000	голубой	1.4	180.0	Бензин	NaN	1 опция	механическая	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Италия	A	3.0	3571.0	1627.0	1488.0	35.0	1045.0	NaN	дисковые	дисковые	225.0	6.7	4.9	АИ-95	переднее	поперечное	турбонаддув	250.0	4.0	4.0	NaN	104.0	185.0	185.0
7	Abarth	500	I Рестайлинг	Хэтчбек 3 дв.	1.4 MT (180 л.с.)	2024-10-31	2500000.0	Москва	В наличии	2018	44000	серый	1.4	180.0	Бензин	NaN	34 опции	механическая	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Италия	A	3.0	3571.0	1627.0	1488.0	35.0	1045.0	NaN	дисковые	дисковые	225.0	6.7	4.9	АИ-95	переднее	поперечное	турбонаддув	250.0	4.0	4.0	NaN	104.0	185.0	185.0
8	AC	Cobra	Mk III	Родстер	7.0 MT (416 л.с.)	2024-07-13	9000000.0	Екатеринбург	В наличии	1967	5000	белый	7.0	416.0	Бензин	NaN	1 опция	механическая	задний	Левый	Не требует ремонта	3	Оригинал	Растаможен	Великобритания	S	2.0	3962.0	1727.0	1219.0	68.0	NaN	NaN	дисковые	дисковые	280.0	4.2	NaN	АИ-95	переднее	продольное	нет	651.0	8.0	2.0	NaN	127.0	NaN	NaN
9	Acura	ZDX	2009-2013	Внедорожник 5 дв.	3.7 AT (300 л.с.) 4WD	2024-11-01	4200000.0	Иркутск	В наличии	2011	29002	золотистый	3.7	300.0	Бензин	NaN	1 опция	автоматическая	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Япония	E	5.0	4887.0	1994.0	1570.0	79.0	2000.0	NaN	дисковые	NaN	NaN	7.2	10.2	АИ-95	переднее	поперечное	нет	366.0	6.0	5.0	NaN	200.0	745.0	745.0

	car_make	car_model	car_gen	car_type	car_compl	ann_date	car_price	ann_city	avail	year	mileage	color	eng_size	eng_power	eng_type	pow_resrv	options	transmission	drive	st_wheel	condition	count_owner	original_pts	customs	state_mark	class_auto	door_count	long	width	height	v_tank	curb_weight	gross_weight	front_brakes	rear_brakes	max_speed	acceleration	fuel_cons	fuel_brand	engine_loc1	engine_loc2	turbocharg	max_torq	cyl_count	seat_count_max	seat_count_min	clearence_max	v_bag_max	v_bag_min
163854	Porsche	Cayenne	III Рестайлинг	Внедорожник 5 дв.	3.0 AT (353 л.с.) 4WD	2024-11-22	13450000.0	Владивосток	На заказ	2024	2835	серый	3.0	353.0	Бензин	NaN	2 опции	автоматическая	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Германия	E	5.0	4930.0	1983.0	1698.0	75.0	2055.0	2835.0	дисковые	дисковые	248.0	6.0	NaN	АИ-98	переднее	продольное	турбонаддув	500.0	6.0	5.0	NaN	212.0	1708.0	772.0
163855	Porsche	Macan	I Рестайлинг	Внедорожник 5 дв.	2.0 AMT (252 л.с.) 4WD	2024-11-22	6150000.0	Владивосток	На заказ	2021	45000	серый	2.0	252.0	Бензин	NaN	Macan	роботизированная	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Германия	D	5.0	4686.0	1923.0	1624.0	65.0	1870.0	2510.0	дисковые	дисковые	227.0	6.7	6.6	АИ-98	переднее	продольное	турбонаддув	370.0	4.0	5.0	NaN	205.0	1500.0	500.0
163856	Porsche	Cayenne	III Рестайлинг	Внедорожник 5 дв.	3.0 AT (353 л.с.) 4WD	2024-11-24	15390000.0	Москва	На заказ	2024	6500	чёрный	3.0	353.0	Бензин	NaN	23 опции	автоматическая	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Германия	E	5.0	4930.0	1983.0	1698.0	75.0	2055.0	2835.0	дисковые	дисковые	248.0	6.0	NaN	АИ-98	переднее	продольное	турбонаддув	500.0	6.0	5.0	NaN	212.0	1708.0	772.0
163857	Porsche	Cayenne	III Рестайлинг	Внедорожник 5 дв.	S 4.0 AT (474 л.с.) 4WD	2024-11-23	19490000.0	Москва	На заказ	2024	100	синий	4.0	474.0	Бензин	NaN	S	автоматическая	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Германия	E	5.0	4930.0	1983.0	1698.0	90.0	2160.0	2930.0	дисковые	дисковые	273.0	5.0	NaN	АИ-98	переднее	продольное	турбонаддув	600.0	8.0	5.0	NaN	210.0	1708.0	772.0
163858	Porsche	Cayenne	III Рестайлинг	Внедорожник 5 дв. Coupé	Coupé 3.0 AT (353 л.с.) 4WD	2024-11-22	18300000.0	Новосибирск	На заказ	2024	5500	серебристый	3.0	353.0	Бензин	NaN	Coupé	автоматическая	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Германия	E	5.0	4930.0	1983.0	1678.0	75.0	2085.0	2820.0	дисковые	дисковые	248.0	5.7	NaN	АИ-98	переднее	продольное	турбонаддув	500.0	6.0	5.0	NaN	214.0	1502.0	592.0
163859	Porsche	Cayenne	III Рестайлинг	Внедорожник 5 дв. Coupé	Coupé 3.0 AT (353 л.с.) 4WD	2024-11-24	15850000.0	Москва	На заказ	2024	100	чёрный	3.0	353.0	Бензин	NaN	Coupé	автоматическая	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Германия	E	5.0	4930.0	1983.0	1678.0	75.0	2085.0	2820.0	дисковые	дисковые	248.0	5.7	NaN	АИ-98	переднее	продольное	турбонаддув	500.0	6.0	5.0	NaN	214.0	1502.0	592.0
163860	Porsche	Cayenne	III Рестайлинг	Внедорожник 5 дв. Coupé	S Coupé 4.0 AT (474 л.с.) 4WD	2024-11-23	19980000.0	Москва	На заказ	2024	100	чёрный	4.0	474.0	Бензин	NaN	S Coupé	автоматическая	полный	Левый	Не требует ремонта	1	Оригинал	Растаможен	Германия	E	5.0	4930.0	1983.0	1678.0	90.0	2190.0	2910.0	дисковые	дисковые	273.0	4.7	NaN	АИ-98	переднее	продольное	турбонаддув	600.0	8.0	5.0	NaN	212.0	1502.0	592.0
163861	Porsche	Panamera	I Рестайлинг	Лифтбек	GTS 4.8 AMT (440 л.с.) 4WD	2024-01-16	4700000.0	Москва	В наличии	2015	66000	серый	4.8	440.0	Бензин	NaN	Panamera GTS	роботизированная	полный	Левый	Не требует ремонта	3	Оригинал	Растаможен	Германия	F	5.0	5015.0	1931.0	1418.0	80.0	1925.0	2500.0	дисковые	дисковые	288.0	4.4	7.8	АИ-98	переднее	продольное	нет	520.0	8.0	5.0	4.0	143.0	1263.0	445.0
163862	Nevo	A05	2023-н.в.	Седан	1.5hyb CVT (190 л.с.)	2024-10-28	1700000.0	Владивосток	На заказ	2024	1000	серебристый	1.5	190.0	Гибрид	NaN	1 опция	вариатор	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Китай	D	4.0	4785.0	1840.0	1460.0	48.0	1425.0	1860.0	дисковые	дисковые	185.0	7.9	NaN	АИ-92	переднее	поперечное	нет	330.0	4.0	5.0	NaN	NaN	NaN	NaN
163863	Nevo	A05	2023-н.в.	Седан	1.5hyb CVT (190 л.с.)	2024-10-28	1710000.0	Владивосток	На заказ	2024	3600	белый	1.5	190.0	Гибрид	NaN	1 опция	вариатор	передний	Левый	Не требует ремонта	1	Оригинал	Растаможен	Китай	D	4.0	4785.0	1840.0	1460.0	48.0	1425.0	1860.0	дисковые	дисковые	185.0	7.9	NaN	АИ-92	переднее	поперечное	нет	330.0	4.0	5.0	NaN	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category